A Review of Prognostics and Health Management Applications in Nuclear Power Plants

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Nov 3, 2020
Jamie Coble Pradeep Ramuhalli Leonard Bond J. Wesley Hines Belle Upadhyaya

Abstract

The US operating fleet of light water reactors (LWRs) is currently undergoing life extensions from the original 40- year license to 60 years of operation. In the US, 74 reactors have been approved for the first round license extension, and 19 additional applications are currently under review. Safe and economic operation of these plants beyond 60 years is now being considered in anticipation of a second round of license extensions to 80 years of operation. Greater situational awareness of key systems, structures, and components (SSCs) can provide the technical basis for extending the life of SSCs beyond the original design life and supports improvements in both safety and economics by supporting optimized maintenance planning and power uprates. These issues are not specific to the aging LWRs; future reactors (including Generation III+ LWRs, advanced reactors, small modular reactors, and fast reactors) can benefit from the same situational awareness. In fact, many small modular reactor (SMR) and advanced reactor designs have increased operating cycles (typically four years up to forty years), which reduce the opportunities for inspection and maintenance at frequent, scheduled outages. Understanding of the current condition of key equipment and the expected evolution of degradation during the next operating cycle allows for targeted inspection and maintenance activities. This article reviews the state of the art and the state of practice of prognostics and health management (PHM) for nuclear power systems. Key research needs and technical gaps are highlighted that must be addressed in order to fully realize the benefits of PHM in nuclear facilities.

Abstract 1136 | PDF Downloads 852

##plugins.themes.bootstrap3.article.details##

Keywords

PHM

References
10 CFR 50.55a. (2007). Codes and Standards.
10 CFR 50.65. (2011). Requirements for Monitoring the Effectiveness of Maintenance at Nuclear Power Plants.
10 CFR 54. Requirements for Renewal of Operating Licenses for Nuclear Power Plants. Final Rule (June 1995).
Agarwal, V., Lybeck, N. J., Bickford, R., & Rusaw, R. (2014). Development of Asset Fault Signatures for Prognostic and Health Management in the Nuclear Industry: Idaho National Laboratory (INL).
Ai, Q., Liu, C.-X., Chen, X.-R., He, P., & Wang, Y. (2010). Acoustic Emission of Fatigue Crack in Pressure Pipe Under Cyclic Pressure. Nuclear Engineering and Design, 240(10), 3616-3620. doi: 10.1016/j.nucengdes.2010.05.022
Angeli, C., & Chatzinikolaou, A. (2004). On-Line Fault Detection Techniques for Technical Systems: A Survey. International Journal of Computer Science & Applications, I(1), 12-30.
Arcella, F. G., Bednar, F. H., Schreurs, J. J., & Forker, J. M. (1994). 5,329,465.
Ardsomang, T., Hines, J. W., & Upadhyaya, B. R. Heat Exchanger Fouling and Estimation of Remaining Useful Life.
Bartley, W. H. (2003). Analysis of Transformer Failures.
Bickford, R., Davis, E., Rusaw, R., & Shankar, R. (2002). Development of an Online Predictive Monitoring System for Power Generating Plants. Paper presented at the 45th ISA POWID, San Diego, California.
Bond, L. J. (1999). Predictive Engineering for Aging Infrastructure. Paper presented at the Nondestructive Evaluation of Utilities and Pipelines III, Proceedings of SPIE, Newport Beach, California.
Bond, L. J., Doctor, S. R., Griffin, J. W., Hull, A. B., & Malik, S. N. (2009). Damage Assessment Technologies for Prognostics and Proactive Management of Materials Degradation (PMMD).
Paper presented at the 6th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, Knoxville, Tennessee.
Bond, L. J., Doctor, S. R., Griffin, J. W., Hull, A. B., & Malik, S. N. (2011). Damage Assessment Technologies for Prognostics and Proactive Management of Materials Degradation. Nuclear technology, 173(1), 46-55.
Bond, L. J., Doctor, S. R., Jarrell, D. B., & Bond, J. W. D. (2008). Improved Economics of Nuclear Plant Life Management. Paper presented at the Second International Symposium on Nuclear Power Plant Life Management, Shanghai, China.
Bond, L. J., Doctor, S. R., & Taylor, T. T. (2008). Proactive Management of Materials Degradation - A Review of Principles and Programs. Richland, Washington: Pacific Northwest National Laboratory.
Bond, L. J., Ramuhalli, P., Tawfik, M. S., & Lybeck, N. J. (2011). Prognostics and Life Beyond 60 Years for Nuclear Power Plants. Paper presented at the Proceedings of the 2011 IEEE International Conference on Prognostics and Health Management, Denver, Colorado.
Borges, E. M., Filho, F. A. B., & Guimaraes, L. N. F. (2010). Liquid Metal Flow Control by DC Electromagnetic Pumps. Thermal Engineering, 9(1), 47-54.
Byington, C. S., Watson, M., Edwards, D., & Stoelting, P. (2004). A Model-Based Approach to Prognostics and Health Management for Flight Control Actuators. Paper presented at the 2004 IEEE Aerospace Conference, Big Sky, Montana.
Callan, R., Larder, B., & Sandiford, J. (2006). An Integrated Approach to the Development of an Intelligent Prognostic Health Management System. Paper presented at the 2006 IEEE Aerospace Conference, Big Sky, Montana.
Chai, J., Lyon, R. H., & Lang, J. H. (1994). Non-invasive Diagnostics of Motor-operated Valves. Paper presented at the Proceedings of 1994 American Control Conference (ACC '94), Baltimore, Maryland.
Chockie, A. D., Bjorkelo, K. A., Fleming, T. E., Scott, W. B., & Enderlin, W. I. (1991). Maintenance Practices to Manage Aging: A Review of Several Technologies. In USNRC (Ed.). Richland, Washington: Pacific Northwest Laboratory.
Coble, J. B., Coles, G. A., Meyer, R. M., & Ramuhalli, P. (2013). Incorporating Equipment Condition Assessment in Risk Monitors for Advanced Small Modular Reactors. CHEMICAL ENGINEERING, 33.
Coble, J. B., Humberstone, M., & Hines, J. W. (2010). Adaptive monitoring, fault detection and diagnostics, and prognostics system for the IRIS nuclear plant. Paper presented at the 2010 Prognostics and Health Management Conference, Portland, OR.
Coble, J. B., Ramuhalli, P., Bond, L. J., Hines, J. W., & Upadhyaya, B. R. (2012). Prognostics and health management in nuclear power plants: a review of technologies and applications, PNNL-21515: Pacific Northwest National Laboratory.
Coble, J. B., Ramuhalli, P., Meyer, R., Hashemian, H. M., Shumaker, B., & Cummins, D. (2012). Calibration monitoring for sensor calibration interval extension: Identifying technical gaps. Paper presented at the Future of Instrumentation International Workshop (FIIW), 2012.
Coble, J. B., Strong, E., O'Reilly, S., & Hines, J. W. (2011). Prognosis of Remaining Useful Life for Large, Oil- Filled Transformers. Paper presented at the 2011 ANS Winter Meeting and Nuclear Technology Expo - The Status of Global Nuclear Deployment, Washington, D.C.
Davis, E., Bickford, R., Colgan, P., Nesmith, K., Rusaw, R., & Shankar, R. (2002). On-Line Monitoring at Nuclear Power Plants - Results from the EPRI On-Line Monitoring Implementation Project. Paper presented at the 45th ISA POWID, San Diego, California.
Dobmann, G. (2006). NDE for Material Characterization of Aging Due to Thermal Embrittlement, Fatigue and Neutron Degradation. International Journal of Materials and Product Technology, 26, 122-139.
Doctor, S. R. (1988). Measurement Challenges Associated with Irradiated Reactor Components. Paper presented at the Nondestructive Characterization of Materials in Aging Systems, Materials Research Society Symposium Proceedings, Boston, Massachusetts.
Doctor, S. R. (2007). Nuclear Power Plant NDE Challenges - Past, Present, and Future. Paper presented at the Review of Progress in Quantitative Nondestructive Evaluation, Portland, Oregon.
Eklund, J., & Upadhyaya, B. (1991). An automated system for motor-operated valve diagnostics. Power Engineering;(United States), 95(12).
EPRI. (1998). On-Line Monitoring of Instrument Channel Performance. Palo Alto, California: Electric Power Research Institute (EPRI).
Eren, L., Baskirt, O., & Devaney, M. (2005). Rule-Based Motor Fault Detection. Paper presented at the Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE.
Fantoni, P., & Toman, G. J. (2006). Wire System Aging Assessment and Condition Monitoring Using Line Resonance Analysis (LIRA). Paper presented at the Offshore Wind and Other Marine Renewable Energies in Mediterranean and European Seas (OWEMES), Citavecchia (Rome), Italy.
Fantoni, P. F. (2010). Cable Aging Assessment. Paper presented at the Report from the Light Water Reactor Sustainability Workshop on On-Line Monitoring Technologies, Seattle, Washington.
Fantoni, P. F., Toman, G. J., & Cano, J. C. (2009). Condition Monitoring of Electrical Cables using Line Resonance Analysis (LIRA). Paper presented at the ANS NPIC&HMIT 2009 Topical Meeting - Nuclear Plant Instrumentation, Controls, and Human Machine Interface Technology, Knoxville, Tennessee.
Gavrilovs, G. (2011). Technical condition asset management of power transformers. Paper presented at the Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on.
Gertler, J. J. (1988). Survey of Model-based Failure Detection and Isolation in Complex Plants. IEEE Control Systems, 8(6), 3-11.
Ghosh, A., Varde, P., & Satheesh, C. (2013). Prognostics & Health Management of Swing Type Check Valves. International Journal of Emerging Technology and Advanced Engineering, 3(10), 374-382.
Goebel, K., Saxena, A., Saha, S., Saha, B., & Celaya, J. (2011). Prognostic Performance Metrics. Machine Learning and Knowledge Discovery for Engineering Systems Health Management, 147.
Granjon, P. (2011). Condition Monitoring of Motor- Operated Valves in Nuclear Power Plants. Paper presented at the 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM/MFPT 2011), Cardiff, Wales.
Gregor, F., & Chockie, A. (2006). Performance Monitoring of Systems and Active Components. Seattle, Washington: Chockie Group International, Inc. Gross, K. C., Singer, R. M., & Humenik, K. E. (1993). 5,223,207.
Harris, D. O., & Dunegan, H. L. (1974). Continuous Monitoring of Fatigue-Crack Growth by Acoustic- Emission Techniques. Experimental Mechanics, 14(2), 71-81.
Hashemian, H. (1995). On-line Testing of Calibration of Process Instrumentation Channels in Nuclear Power Plants. In USNRC (Ed.). Washington, D.C.: U.S. Nuclear Regulatory Commission.
Hashemian, H. M. (2011a). Oconee: the USA's First Fully Digital Nuclear Power Station. Modern Power Systems, 31(1), 73-75.
Hashemian, H. M. (2011b). Wireless Sensors for Predictive Maintenance of Rotating Equipment in Research Reactors. Annals of Nuclear Energy, 38, 665-680.
Hashemian, H. M., Kiger, C. J., Morton, G. W., & Shumaker, B. D. (2011). Wireless Sensor Applications in Nuclear Power Plants. Nuclear technology, 173(1), 8-16.
Hashemian, H. M., Morton, G. W., & Shumaker, B. D. (2009). Advanced digital rod position indication system for existing and next generation nuclear reactors.
Hashemian, H. M., Morton, G. W., Shumaker, B. D., Lillis, D., & Orme, S. (2004). Calibration Reduction System Implementation at the Sizewell B Nuclear Power Plant. Paper presented at the 4th International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technology, Columbus, Ohio.
Haynes, H. D. (1990). Evaluation of Check Valve Monitoring Methods. Paper presented at the Proceedings of the U.S. Nuclear Regulatory Commission, Seventeenth Water Reactor Safety
Information Meeting Rockville, Maryland.
Heathcote, M. J. (1998). J&P Transformer Book, Twelfth Edition. Oxford, United Kingdom: Elsevier Science Ltd.
Heo, G. Y. (2008). Condition Monitoring Using Empirical Models: Technical Review and Prospects for Nuclear Applications. Nuclear Engineering and Technology, 40(1), 49-68.
Hess, A., Calvello, G., & Frith, P. (2005). Challenges, Issues, and Lessons Learned Chasing the "Big P": Real Predictive Prognostics. Part 1. Paper presented at the 2005 IEEE Aerospace Conference, Big Sky, Montana.
Hines, J. W., & Davis, E. (2005). Lessons Learned from the US Nuclear Power Plant On-Line Monitoring Programs. Progress in Nuclear Energy, 46(3-4), 176-189.
Hines, J. W., Garvey, D., Seibert, R., & Usynin, A. (2008a). Technical Review of On-line Monitoring Techniques for Performance Assessment, Volume 2: Theoretical Issues. Washington, D.C.: U.S. Nuclear Regulatory Commission.
Hines, J. W., Garvey, J., Preston, J., & Usynin, A. (2008). Tutorial: Empirical Methods for Process and Equipment Prognostics. Paper presented at the 53rd Annual Reliability and Maintainability
Symposium (RAMS), 2008 Proceedings, Las Vegas, Nevada.
Hines, J. W., Garvey, J., Seibert, R., & Usynin, A. (2008b). Technical Review of On-line Monitoring Techniques for Performance Assessment, Volume 3: Limiting Case Studies. Washington, D.C.: U.S. Nuclear Regulatory Commission.
Hines, J. W., & Seibert, R. (2006a). Technical Review of On-Line Monitoring Techniques for Performance Assessment: State-of-the-Art. In USNRC (Ed.), (Vol. 1). Washington, D.C.: U.S. Nuclear
Regulatory Commission.
Hines, J. W., & Seibert, R. (2006b). Technical Review of On-Line Monitoring Techniques for Performance Assessment. Volume 1. State-of-the-Art.
Howard, P. (2005). Prognostic Technology – New Challenges. Paper presented at the Proceedings of the 59th Machinery Failure Prevention Technology (MFPT) Conference, Virginia Beach, Virginia.
Howlader, M. K., Ewing, P. D., & Dion, J. (2010). Issues Associated with Deploying Wireless Systems in Nuclear Facilities. Paper presented at the 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies (NPIC&HMIT 2010), Las Vegas, Nevada.
Hudson, B. (1999). HV motor condition monitoring-the end user's view. Paper presented at the Design, Operation and Maintenance of High Voltage (3.3 kV to 11 kV) Electric Motors for Process Plant (Ref. No. 1999/178), IEE Colloquium on.
Hutton, P. H. (1993). Listening to Reactor Pressure Boundaries for the Sounds of Cracks and Leaks. Nuclear Engineering International, 38(47), 38-40.
Hutton, P. H., Dawson, J. F., Friesel, M. A., Harris, J. C., & Pappas, R. A. (1984). Acoustic Emission Monitoring of Hot Functional Testing: Watts Bar Unit 1 Nuclear Reactor. Washington, D.C.: U.S.
Nuclear Regulatory Commission.
Hutton, P. H., Friesel, M. A., & Dawson, J. F. (1993a). Continuous AE crack monitoring of a dissimilar metal weldment at Limerick Unit 1: Nuclear Regulatory Commission, Washington, DC (United States). Div. of Engineering.
Hutton, P. H., Friesel, M. A., & Dawson, J. F. (1993b). Continuous AE Crack Monitoring of a Dissimilar Metal Weldment at Limerick Unit 1. Washington, DC: U.S. Nuclear Regulatory Commission.
Hutton, P. H., & Kurtz, R. J. (1985). Acoustic emission for on-line reactor monitoring: Results of intermediate vessel test monitoring and reactor hot functional testing. Nuclear Engineering and Design, 86(1), 3-11.
Hutton, P. H., Kurtz, R. J., & Friesel, M. A. (1987). Progress for on-line acoustic emission monitoring of cracks in reactor systems. Nuclear Engineering and Design, 98(2), 135-140.
IAEA. (1997). Pilot Study on the Management of Ageing of Instrumentation and Control Cables – Results of a Coordinated Research Program (1993-1995). Vienna, Austria: International Atomic Energy Agency.
IAEA. (2000). Assessment and Management of Ageing of Major Nuclear Power Plant Components Important to Safety: In-containment Instrumentation and Control Cables. Volume I (pp. 96). Vienna, Austria: International Atomic Energy Agency.
IAEA. (2008). On-line Monitoring for Improving Performance of Nuclear Power Plants - Part 2: Process and Component Condition Monitoring and Diagnostics. Vienna, Austria: International Atomic Energy Agency (IAEA).
IAEA. (2010). Risk-informed In-service Inspection of Piping Systems of Nuclear Power Plants: Process, Status, Issues and Development. Vienna, Austria: International Atomic Energy Agency (IAEA).
IAEA. (2012). Advanced Surveillance Diagnostics, and Prognostics Techniques Used for Health Monitoring of Systems, Structures, and Components in Nuclear Power Plants: CRP Report Volume I. Vienna, Austria: International Atomic Energy Agency (IAEA).
IAEA. (2013). Advanced Surveillance, Diagnostic and Prognostic Techniques in Monitoring Structures, Systems and Components in Nuclear Power Plants IAEA Nuclear Energy Series (Vol. NP-T-3.14). Vienna, Austria: International Atomic Energy Agency.
IAEA. (2014). Approaches to Ageing Management for Nuclear Power Plants: International Generic Ageing Lessons Learned (IGALL) Final Report. Vienna: IAEA TECDOC 1736.
IEC. (2010). Nuclear Power Plants. Instrumentation and Control Important to Safety. Management of Ageing of Electrical Cabling Systems. Geneva, Switzerland.: International Electrotechnical Commission (IEC).
Inman, D. I., Farrar, C. R., Lopes, V., & Steffen, V. (Eds.). (2005). Damage Prognosis. Chichester, West Sussex, England: Wiley.
Isermann, R. (1984). Process Fault Detection Based on Modeling and Estimation Methods—A Survey. Automatica, 20(4), 387-404. doi: 10.1016/0005- 1098(84)90098-0
Jarrell, D. B., Sisk, D. R., & Bond, L. J. (2004). Prognostics and Conditioned-Based Maintenance: A New Approach to Precursive Metrics. Nuclear technology, 145(3), 275-286.
Jung, J. C., & Seong, P. H. (2006). An Improved Method for Reactor Coolant Pump Abnormality Monitoring Using Power Line Signal Analysis. Nuclear Engineering and Design, 236(1), 57-62.
Kacprzynski, G., Sarlashkar, A., Roemer, M., Hess, A., & Hardman, B. (2004). Predicting remaining life by fusing the physics of failure modeling with diagnostics. JOm, 56(3), 29-35.
Kacprzynski, G. J., Roemer, M. J., Modgil, G., Palladino, A., & Maynard, K. (2002). Enhancement of physics-of-failure prognostic models with system level features. Paper presented at the Aerospace Conference Proceedings, 2002. IEEE.
Kakaq, S. (1991). Heat Exchanger Fouling. Boilers, Evaporators, and Condensers, 107.
Koo, I. S., & Kim, W. W. (2000). The Development of Reactor Coolant Pump Vibration Monitoring and a Diagnostic System in the Nuclear Power Plant. ISA Transactions, 39(3), 309-316.
Korkua, S., Jain, H., Lee, W.-J., & Kwan, C. (2010). Wireless health monitoring system for vibration detection of induction motors. Paper presented at the Industrial and Commercial Power Systems Technical Conference (I&CPS), 2010 IEEE.
Kothamasu, R., Huang, S. H., & VerDuin, W. H. (2006). System Health Monitoring and Prognostics — A Review of Current Paradigms and Practices. The International Journal of Advanced Manufacturing Technology, 28(9-10), 1012-1024.
Kumar, S., & Madhab, G. (2006). Development of a DSPbased Motor Health Monitoring System. Paper presented at the Industrial Electronics, 2006 IEEE International Symposium on.
Lapworth, J. A., Jarman, P. N., & Funnell, I. R. (1995). Condition Assessment Techniques for Large Power Transformers. Paper presented at the Proceedings Second International Conference on the Reliability of Transmission and Distribution Equipment (Conf. Publ. No.406), Coventry, United Kingdom.
Lee, J.-H., Lee, M.-R., Kim, J.-T., Luk, V., & Jung, Y.-H. (2006). A Study of the Characteristics of the Acoustic Emission Signals for Condition Monitoring of Check Valves in Nuclear Power Plants. Nuclear Engineering and Design, 236(13), 1411-1421.
Liang, T., Kacprzynski, G. J., Goebel, K., & Vachtsevanos, G. (2009). Methodologies for Uncertainty Management in Prognostics. Paper presented at the 2009 IEEE Aerospace Conference, Big Sky, Montana.
Lillis, D. (2010). Use of Online Monitoring to Support Condition Based Maintenance of Safety Category Sensors at Sizewell ‘B’ Nuclear Power Plant. Paper presented at the 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies (NPIC&HMIT 2010), Las Vegas, Nevada.
Liu, H., Yu, J., Zhang, P., & Li, X. (2011). Review on Verification and Validation Technology in Integrated Health Management System. Paper presented at the 10th International Conference on Electronic Measurement & Instruments (ICEMI 2011), Chengdu, China.
Lois, A., & Ruch, M. (2006). Assessment of Martensite Content in Austenitic Stainless Steel Specimens by Eddy Current Testing. Insight, 48(1), 26-29.
Lybeck, N., Pham, B., Tawfik, M., Coble, J. B., Meyer, R. M., Ramuhalli, P., & Bond, L. J. (2011). Lifecycle Prognostics Architecture for Selected High-Cost Active Components: INL/EXT-11-22915.
Matlack, K. H., Wall, J. J., Kim, J.-Y., Qu, J., Jacobs, L. J., & Viehrig, H.-W. (2012). Evaluation of Radiation Damage Using Nonlinear Ultrasound. Journal of Applied Physics, 111(5), 054911-054913.
McCulley, J. R., Morton, G. W., Caylor, S. D., & Hashemian, H. M. (2013). Advanced Fault Monitoring and Diagnostics for Rod Control and Position Systems in Nuclear Reactors. Paper presented at the Transactions of the American Nuclear Society, Atlanta, GA.
McGhee, M., Galloway, G., Catterson, V., Brown, B., & Harrison, E. (2014). Prognostic Modeling of Valve Degradation within Power Stations.
McShane, J. L., & Ulerich, N. H. (1992). 5,115,672.
Meyer, R. M., Bond, L. J., & Ramuhalli, P. (2012). Online Condition Monitoring to Enable Extended Operation of Nuclear Power Plants. Nuclear Safety and Simulation, 3(1), 31-50.
Meyer, R. M., Bond, L. J., Ramuhalli, P., & Doctor, S. R. (2010). Advanced Instrumentation, Information, and Control System Technologies: Nondestructive Examination Technologies - NDE Technology for the In-service Inspection of Commercial Nuclear Power Plants: An Assessment Richland, Washington: Pacific Northwest National Laboratory.
Meyer, R. M., Coble, J. B., Ramuhalli, P., & Bond, L. J. (2011). Advanced Instrumentation, Information, and Control System Technologies: Nondestructive Examination Technologies - FY11 Report. Richland, Washington: Pacific Northwest National Laboratory.
Meyer, R. M., Ramuhalli, P., Braatz, B. G., & Doctor, S. R. (2012). Application of Acoustic Emission and Other Online Monitoring Technologies to High Temperature Gas Reactors. Richland, Washington: Pacific Northwest National Laboratory.
Miljkovic, D. (2011). Fault Detection Methods: A Literature Survey. Paper presented at the MIPRO, 2011 Proceedings of the 34th International Convention, Opatija, Croatia.
Miller, C. (2008). Nondestructive Evaluation: A Review of NDE Performance Demonstrations - NDE Round Robin Report (N. Electric Power Research Institute (EPRI) Nondestructive Evaluation (NDE) Program 1300 W.T. Harris Blvd. Charlotte, Trans.). Palo Alto, California: Electric Power Research Institute.
Milne, R. (1987). Strategies for Diagnosis. IEEE Transactions on Systems, Man and Cybernetics, 17(3), 333-339.
Morton, G. W., Caylor, S. D., McCulley, J. R., & Hashemian, H. M. (2012). On-Line Condition Monitoring and Diagnostics for Rod Control and Rod Position Indication Systems in Nuclear
Reactors. Paper presented at the American Nuclear Society Nuclear Plant Instrumentation and Control and Human-Machine Interface Technology (NPIC&HMIT), San Diego, CA.
Nakagawa, N., Inanc, F., Frishman, A., Thompson, R. B., Junker, W., Ruddy, F., Dulloo, A., Beatty, J., & Arlia, N. (2006). On-line nde and structural health monitoring for advanced reactors. Key Engineering Materials, 321, 234-239.
Nakamura, T., & Terada, M. (1985). Development of Leak Monitoring System for Pressurizer Valves. Progress in Nuclear Energy, 15, 175-179.
NEI. (2011). Nuclear Energy's Economic Benefits - Current and Future (White Paper). Washington, D.C.: Nuclear Energy Institute.
Nuclear Energy Insider. (2014). Nuclear New Construction Market Map 2014.
Oja, M., Line, J., Krishnan, G., & Tryon, R. (2007). Electronic Prognostics with Analytical Models using Existing Measurands. Paper presented at the 61st Conference of the Society for Machinery Failure Prevention Technology.
Parks, D., & Tittmann, B. R. (2011). Ultrasonic NDE in a Reactor Core. Paper presented at the 38th Annual Review of Progress in Quantitative NDE, Burlington, Vermont.
Pecht, M., & Dasgupta, A. (1995). Physics-of-failure: an approach to reliable product development. Paper presented at the Integrated Reliability Workshop, 1995. Final Report., International.
Penha, R. L., Hines, J. W., & Upadhyaya, B. R. (2002). Monitoring and Diagnosis of a Heat Exchanger Using Hybrid System Modeling. Paper presented at the 3rd Meeting of the Americas - America's Nuclear Energy Symposium, Miami, FL.
Pipe, K. (2008). Practical Prognostics for Condition Based Maintenance. Paper presented at the 1st International Conference on Prognostics and Health Management (PHM 2008), Denver, Colorado.
Raj, B., Moorthy, V., Jayakumar, T., & Rao, K. B. S. (2003). Assessment of Microstructures and Mechanical Behaviour of Metallic Materials through Non-destructive Characterisation. International Materials Reviews, 48(5), 273-325.
Ramachandran, K. P., Fathi, K., & Rao, B. K. N. (2010). Recent Trends in Systems Performance Monitoring & Failure Diagnosis. Paper presented at the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2010), Macao.
Rich, S. H., & Venkatasubramanian, V. (1987). Modelbased Reasoning in Diagnostic Expert Systems for Chemical Process Plants. Computers & Chemical Engineering, 11(2), 111-122. doi: 10.1016/0098-1354(87)80012-1
Rose, J. L. (1999). Ultrasonic Waves in Solid Media. Cambridge, United Kingdom: Cambridge University Press.
Rose, J. L. (2002). A Baseline and Vision of Ultrasonic Guided Wave Inspection Potential. Journal of Pressure Vessel Technology, 124, 273-282.
Saha, B., & Goebel, K. (2008). Uncertainty Management for Diagnostics and Prognostics of Batteries Using Bayesian Techniques. Paper presented at the 2008 IEEE Aerospace Conference, Big Sky, Montana.
Saxena, A., Celaya, J., Saha, B., Saha, S., & Goebel, K. (2010a). Evaluating Prognostics Performance for Algorithms Incorporating Uncertainty Estimates. Paper presented at the 2010 IEEE Aerospace Conference, Big Sky, Montana.
Saxena, A., Celaya, J., Saha, B., Saha, S., & Goebel, K. (2010b). Metrics for Offline Evaluation of Prognostic Performance. Moffett Field, California: Ames Research Center, National Aeronautics and Space Administration.
Saxena, A., Selaya, J., Balaban, E., Goebel, K., Saha, B., Saha, S., & Schwabacher, M. (2008). Metrics for Evaluating Performance of Prognostic Techniques. Paper presented at the 1st International Conference on Prognostics and Health Management (PHM 2008), Denver, Colorado.
Schwabacher, M. (2005). A Survey of Data-Driven Prognostics. Paper presented at the Proceedings of the AIAA Infotech@Aerospace Conference, Arlington, Virginia.
Schwabacher, M., & Goebel, K. (2007). A Survey of Artificial Intelligence for Prognostics. Paper presented at the Artificial Intelligence for Prognostics: Papers from the AAAI Fall Symposium, Arlington, Virginia.
Singer, R. M., Gross, K. C., Walsh, M., & Humenik, K. E. (1990). Reactor Coolant Pump Monitoring and Diagnostic System. Paper presented at the 2nd International Machinery Monitoring and
Diagnostic Conference, Los Angeles.
Staehle, R. (2010). Quantitative Micro-Nano (QMN) Approach to Predicting Stress Corrosion Cracking in Water Cooled Nuclear Plants [presentation]. Idaho National Laboratory.
Stevenson, J. D. (2006). The Maintenance Rule. In K. R. Rao (Ed.), Companion Guide to the ASME Boiler & Pressure Vessel Code, Volume 2, Second Edition: Criteria and Commentary on Select
Aspects of the Boiler & Pressure Vessel and Piping Codes (pp. 503-515). New York: ASME Press.
Strong, E., Coble, J. B., O'Reilly, S., & Hines, J. W. (2011). Feasibility of Prognostics for Transformer Remaining Useful Life Predictions. Paper presented at the MFPT: The Applied Systems
Health Management Conference 2011, Enabling Sustainable Systems, Virginia Beach, Virginia.
Teo, Y. H., Chiu, W. K., Chang, F. K., & Rajic, N. (2009). Optimal Placement of Sensors for Sub-surface Fatigue Crack Monitoring. Theoretical and Applied Fracture Mechanics, 52(1), 40-49. doi: 10.1016/j.tafmec.2009.06.007
Thomson, W. T., & Fenger, M. (2001). Current signature analysis to detect induction motor faults. Industry Applications Magazine, IEEE, 7(4), 26-34.
Trutt, F. C., Sottile, J., & Kohler, J. L. (2002). Online condition monitoring of induction motors. Industry Applications, IEEE Transactions on, 38(6), 1627-1632.
Upadhyaya, B. R., Zhao, K., & Lu, B. (2003). Fault Monitoring of Nuclear Power Plant Sensors and Field Devices. Progress in Nuclear Energy, 43(1- 4), 337-342.
USDI. (2000). Transformer Maintenance, Facilities Instructions, Standards, and Techniques, Volume 3-31. Washington, D.C.: United States Department of the Interior (USDI), Bureau of Reclamation.
USDI. (2003). Transformer Diagnostics, Facilities Instructions, Standards, and Techniques, Volume 3-31. Washington, D.C.: United States Department of the Interior (USDI), Bureau of Reclamation.
USNRC (2000, July 24, 2000). [Safety Evaluation by the Office of Nuclear Reactor Regulation, Application of On-line Performance Monitoring to Extend Calibration Intervals of Instrument Channel Calibrations Required by the Technical Specifications, EPRI Topical Report (TR) 104965 'On-Line Monitoring of Instrument Channel Performance'].
USNRC. (2001). Generic Aging Lessons Learned (GALL) Report. Washington, D.C.: U.S. Nuclear Regulatory Commission.
USNRC. (2005a). Generic Aging Lessons Learned (GALL) Report - Summary. Washington, D.C.: Office of Nuclear Reactor Regulations, U.S. Nuclear Regulatory Commission.
USNRC. (2005b). Generic Aging Lessons Learned (GALL) Report - Tabulation of Results. Washington, D.C.: Office of Nuclear Reactor Regulations, U.S. Nuclear Regulatory Commission.
USNRC. (2010). Generic Aging Lessons Learned (GALL) Report - Final Report. Washington, D.C.: Office of Nuclear Reactor Regulations, U.S. Nuclear Regulatory Commission.
USNRC. (2013). Status of Power Uprate Applications. Retrieved 11 August, 2014, from http://www.nrc.gov/reactors/operating/licensing/power-uprates/status-power-apps.html
USNRC. (2014). Status of License Renewal Applications and Industry Activities. Retrieved 11 August, 2014, from http://www.nrc.gov/reactors/operating/licensing/renewal/applications.html
USNRC. (2015). LERSearch: Licensee Event Report Database. Retrieved December 4, 2014, from https://lersearch.inl.gov/Entry.aspx
Valentín, R., Osterman, M., & Newman, B. (2003). Remaining life assessment of aging electronics in avionic applications. Paper presented at the Reliability and Maintainability Symposium, 2003. Annual.
Venkatasubramanian, V., Rengaswamy, R., & Kavuri, S. N. (2003). A Review of Process Fault Detection and Diagnosis: Part II: Qualitative Models and Search Strategies. Computers & Chemical Engineering, 27(3), 313-326. doi: 10.1016/s0098-1354(02)00161-8
Venkatasubramanian, V., Rengaswamy, R., Kavuri, S. N., & Yin, K. (2003). A Review of Process Fault Detection and Diagnosis: Part III: Process History Based Methods. Computers & Chemical
Engineering, 27(3), 327-346. doi: 10.1016/s0098- 1354(02)00162-x
Venkatasubramanian, V., Rengaswamy, R., Yin, K., & Kavuri, S. N. (2003). A Review of Process Fault Detection and Diagnosis: Part I: Quantitative Model-Based Methods. Computers & Chemical Engineering, 27(3), 293-311. doi: 10.1016/s0098-1354(02)00160-6
Villaran, M., & Lofaro, R. (2010). Essential Elements of an Electric Cable Condition Monitoring Program. Washington, D.C.: U.S. Nuclear Regulatory Commission.
Vipperman, J. S. (1999). Structural Health Monitoring Applications Using Piezo-dielectric Effects. Paper presented at the The ASME International Mechanical Engineering Congress and Exposition: Adaptive Structures and Material Systems - 1999 (IMECE 1999), Nashville, Tennessee.
Wacker, J. F., Friese, J. I., Casazza, L. O., McKinley, J. P., Petersen, S. L., Wagnon, K. B., Lumetta, G. J., Bonde, S. E., & Grate, J. W. (2007). FY06 Annual Report on the Progress and Path Forward for the NA-22 Funded Project PL06-AUT308-PD01: Automation of Ultra-Trace and Radiochemical Methods. Richland, Washington: Pacific Northwest National Laboratory.
Wakui, T., & Yokoyama, R. (2008). On-line model-based performance monitoring of a shell-and-tube type heat exchanger using steam and water. Energy Conversion and Management, 49(10), 2669-2677.
Wald, A. (1945). Sequential Tests of Statistical Hypotheses. Annals of Mathematical Statistics, 16(2), 117-186.
Wallace, C., West, G., Jahn, G., McArthur, S., Buckley, G., & Towle, D. (2010). Control rod monitoring of advanced gas cooled reactors. Paper presented at the Seventh American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC&HMIT.
Wang, M., Vandermaar, A. J., & Srivastava, K. D. (2002). Review of Condition Assessment of Power Transformers in Service. IEEE Electrical Insulation Magazine, 18(6), 12-25.
Welz, Z., Nam, A., Sharp, M., Hines, J. W., & Upadhyaya, B. R. (2014). Prognostics for Light Water Reactor Sustainability: Empirical Methods for Heat Exchanger Prognostic Lifetime Predictions. Paper presented at the Second European Conference of the Prognostics and Health Management Society 2014, Nantes, France.
Yang, Q. (2004). Model-Based and Data Driven Fault Diagnosis Methods with Applications to Process Monitoring. (Ph.D.), Case Western Reserve University, Cleveland, Ohio. Retrieved from
http://rave.ohiolink.edu/etdc/view?acc_num=case1080246972
Zimmerman, A. T., Shiraishi, M., Swartz, R. A., & Lynch, J. P. (2008). Automated Modal Parameter Estimation by Parallel Processing within Wireless Monitoring Systems. Journal of Infrastructure Systems, 14(1), 102-113.
Section
Technical Papers