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Vol. 9 No. 1 (2018): International Journal of Prognostics and Health Management
Vol. 9 No. 1 (2018): International Journal of Prognostics and Health Management
Published:
2018-01-01
Technical Papers
Hierarchical Reasoning about Faults in Cyber-Physical Energy Systems using Temporal Causal Diagrams
Ajay D Chhokra, Nagabhushan Mahadevan, Abhishek Dubey, Saqib Hasan, Daniel Balasubramanian, Gabor Karsai
Abstract
750 | PDF Downloads
460 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2669
PDF
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms
Francesco Cannarile, Piero Baraldi, Pierluigi Colombo, Enrico Zio
Abstract
803 | PDF Downloads
525 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2670
PDF
Traffic System Anomaly Detection using Spatiotemporal Pattern Networks
Tingting Huang, Chao Liu, Anuj Sharma, Soumik Sarkar
Abstract
907 | PDF Downloads
754 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2671
PDF
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff
Abstract
1117 | PDF Downloads
1118 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2689
PDF
A Method for Automated Cavitation Detection with Adaptive Thresholds
Seth W. Gregg, John P.H. Steele, Douglas L. Van Bossuyt
Abstract
819 | PDF Downloads
643 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2691
PDF
Diagnosing and PredictingWind Turbine Faults from SCADA Data Using Support Vector Machines
Kevin Leahy, R. Lily Hu, Ioannis C. Konstantakopoulos, Costas J. Spanos, Alice M. Agogino, Dominic T. J. O’Sullivan
Abstract
1511 | PDF Downloads
1079 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2692
PDF
On-board Clutch Slippage Detection and Diagnosis in Heavy Duty Machine
Elisabeth K¨allstr¨om, Tomas Olsson, John Lindstr¨om, Lars Hakansson, Jonas Larsson
Abstract
937 | PDF Downloads
1109 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2693
PDF
Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers
P. Krishnakumar, K. Rameshkumar, K. I. Ramachandran
Abstract
1656 | PDF Downloads
1225 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2694
PDF
A Review of Data-Driven Oil and Gas Pipeline Pitting Corrosion Growth Models Applicable for Prognostic and Health Management
Roohollah Heidary, Steven A. Gabriel, Mohammad Modarres, Katrina M. Groth, Nader Vahdati
Abstract
1789 | PDF Downloads
1635 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2695
PDF
Bayesian based Prognostic Model for Predictive Maintenance of Offshore Wind Farms
Masoud Asgarpour, John Dalsgaard Sørensen
Abstract
774 | PDF Downloads
652 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2696
PDF
Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction
Shuhua Yang, Xiaomo Jiang, Shengli Xu, Xiaofang Wang
Abstract
746 | PDF Downloads
586 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2697
PDF
Enhanced production surveillance using probabilistic dynamic models
Ashutosh Tewari, Stijn de Waele, Niranjan Subrahmanya
Abstract
678 | PDF Downloads
536 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2698
PDF
Selecting Suitable Candidates for Predictive Maintenance
W. W. Tiddens, A.J.J. Braaksma, T. Tinga
Abstract
1585 | PDF Downloads
2183 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2699
PDF
Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles
Edward F. Hogge, Brian M. Bole, Sixto L. Vazquez, Chetan S. Kulkarni, Thomas H. Strom, Boyd L. Hill, Kyle M. Smalling, Cuong C. Quach
Abstract
833 | PDF Downloads
627 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2700
PDF
Traffic sensor health monitoring using spatiotemporal graphical modeling
Linjiang Wu, Chao Liu, Tingting Huang, Anuj Sharma, Soumik Sarkar
Abstract
712 | PDF Downloads
492 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2701
PDF
Performance Assessment of a Wind Turbine Using SCADA based Gaussian Process Model
Ravi Kumar Pandit, David Infield
Abstract
836 | PDF Downloads
878 |
DOI
https://doi.org/10.36001/ijphm.2018.v9i1.2702
PDF
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