Vol. 9 No. 1 (2017): Proceedings of the Annual Conference of the PHM Society 2017

Published: 2017-10-02

Technical Research Papers

A Case for the Use of Data-driven Methods in Gas Turbine Prognostics

Marcia Baptista, Cairo L. Nascimento Jr., Helmut Prendinger, Elsa Henriques
Abstract 152 | PDF Downloads 89 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2483

A Comparison of Feature Selection and Feature Extraction Techniques for Condition Monitoring of a Hydraulic Actuator

Stephen Adams, Ryan Meekins, Peter A. Beling, Kevin Farinholt, Nathan Brown, Sherwood Polter, Qing Dong
Abstract 333 | PDF Downloads 134 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2452

A method for measuring the robustness of diagnostic models for predicting the break size during LOCA

Xiange Tian, Victor Becerra, Nils Bausch, Gopika Vinod, T.V. Santhosh
Abstract 123 | PDF Downloads 68 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2186

A reliability-based prognostics framework for railway track management

Juan Chiachío, Manuel Chiachío, Darren Prescott, John Andrews
Abstract 106 | PDF Downloads 123 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2455

A Simulation Engine for Predicting State-of-Charge and State-of-Health in Lithium-Ion Battery Packs of Electric Vehicles

Pablo A. Espinoza, Aramis Pérez, Marcos E. Orchard, Hugo F. Navarrete, Daniel A. Pola
Abstract 225 | PDF Downloads 114 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2472

Application of a Relative Humidity Sensor for Monitoring Water Vapor Concentration inside Enclosures

Brian Hatchell, Eric Gonzales, Anton Sinkov, Lorenzo Luzi, Azem Cakerri
Abstract 172 | PDF Downloads 183 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2188

Bearing Health Condition Prediction Using Deep Belief Network

Guangquan Zhao, Xiaoyong Liu, Bin Zhang, Guohui Zhang, Guangxing Niu, Cong Hu
Abstract 245 | PDF Downloads 66 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2484

Data driven modeling and estimation of accumulated damage in mining vehicles using on-board sensors

Erik Jakobsson, Erik Frisk, Robert Pettersson, Mattias Krysander
Abstract 206 | PDF Downloads 112 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2309

Deep Feature Learning Network for Fault Detection and Isolation

Gabriel Michau, Thomas Palm´, Olga Fink
Abstract 341 | PDF Downloads 251 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2380

Diagnosis and Prognosis of Fuel Injectors based on Control Adaptation

Azeem Sarwar, Chaitanya Sankavaram, Xiangxing Lu
Abstract 152 | PDF Downloads 778 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2469

Dynamic Modeling of Maintenance Prices in the Aerospace Industry

George S. Eskander Ekladious, Xiaojun Zhao, Hala Mostafa, Ramona Georgescu
Abstract 52 | PDF Downloads 87 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2411

Effect of Ambient Temperature on Performance of Gas Turbine Engine

Yuan Liu, Avisekh Banerjee, Amar Kumar, Alka Srivastava, Nita Goel
Abstract 230 | PDF Downloads 805 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2471

Energy Management of Electric Bicycles Given a Traveling Elevation Profile

Sebastián Seria, Vanessa Quintero, Pablo A. Espinoza, Aramis Pérez, Francisco Jaramillo, Matías Benavides, Marcos Orchard
Abstract 200 | PDF Downloads 84 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2390

Fast optimization for aircraft descent and approach trajectory

Dmitry G Luchinskiy, Stefan Schuet, J. Brenton, Dogan Timucin, David Smith, John Kaneshige
Abstract 103 | PDF Downloads 89 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2307

Fault Detection and Prognosis of Time Series Data with Random Projection Filter Bank

Sepideh Pourazarm, Amir-massoud Farahmand, Daniel Nikovski
Abstract 209 | PDF Downloads 150 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2426

Fault Detection By Segment Evaluation Based On Inferential Statistics For Asset Monitoring

Vepa Atamuradov, Kamal Medjaher, Benjamin Lamoureux, Pierre Dersin, Noureddine Zerhouni
Abstract 134 | PDF Downloads 59 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2193

Flight Tests of a Remaining Flying Time Prediction System for Small Electric Aircraft in the Presence of Faults

Edward F. Hogge, Chetan S. Kulkarni, Sixto L. Vazquez, Kyle M. Smalling, Thomas H. Strom, Boyd L. Hill, Cuong C. Quach
Abstract 140 | PDF Downloads 80 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2192

GPU Accelerated Prognostics

George E. Gorospe Jr., Matthew J. Daigle, Shankar Sankararaman, Chetan S. Kulkarni, Eley Ng
Abstract 186 | PDF Downloads 62 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2437

HPPN-based Prognosis for Hybrid Systems

Pauline Ribot, Elodie Chanthery, Quentin Gaudel
Abstract 137 | PDF Downloads 49 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2480

Impact Damage Prediction for Wave Energy Converters

Ryan Meekins, Stephen Adams, Kevin Farinholt, Nathan Hipwell, Michael Desrosiers, Peter Beling
Abstract 136 | PDF Downloads 76 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2454

Improvement of a Hydrogenerator Prognostic Model by using Partial Discharge Measurement Analysis

Mélanie Lévesque, Normand Amyot, Claude Hudon, Mario Bélec, Olivier Blancke
Abstract 136 | PDF Downloads 131 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2476

Inferential framework for autonomous cryogenic loading operations

Dmitry G Luchinskiy, Michael Khasin, Dogan Timucin, Jarred Sass, Jose Perotti, Barbara Brown
Abstract 119 | PDF Downloads 94 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2306

Integration of prognostics at a system level: a Petri net approach

Manuel Chiachío, Juan Chiachío, Shankar Sankararam, John Andrews
Abstract 152 | PDF Downloads 76 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2475

Low-complexity Behavioral Model for Predictive Maintenance of Railway Turnouts

Pegah Barkhordari, Roberto Galeazzi, Alejandro de Miguel Tejada, Ilmar F. Santos
Abstract 175 | PDF Downloads 76 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2399

PFsuper: Simulation-Based Prognostics to Monitor and Predict Sparse Time Series

Javier Echauz, Andrew Gardner, Ryan R. Curtin, Nikolaos Vasiloglou, George Vachtsevanos
Abstract 158 | PDF Downloads 55 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2481

Prognosis of Connector Disconnection Using a Canary-Based Approach

Xinyu Du, Atul Nagose, Aaron Bloom, Timothy Julson
Abstract 147 | PDF Downloads 78 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2190

Reducing the Impact of Test Bench Component on the Thrust Margin Measurement

Mohammed Meqqadmi, Pierre-Etienne Mosser, Thierry Brichler, Jérôme Lacaille
Abstract 124 | PDF Downloads 78 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2439

Steps toward prognostics of faults in bearings

Eyal Madar, Gideon Kogan, Dmitri Gazizulin, Renata Klein, Jacob Bortman
Abstract 148 | PDF Downloads 78 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2425

The role of transactional data in prognostics and health management work processes

Sarah Lukens, Manjish Naik, Xiaohui Hu, Donald S. Doan, Shaddy Abado
Abstract 179 | PDF Downloads 355 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2473

Towards Diagnosing Cascading Outages in Cyber Physical Energy Systems using Temporal Causal Models

Ajay Chhokra, Nagabhushan Mahadevan, Abhishek Dubey, Daniel Balasubramanian, Gabor Karsai
Abstract 118 | PDF Downloads 67 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2457

Unsupervised Deep Learning for Gear Health Monitoring

Tyler Cody, Stephen Adams, Peter A. Beling
Abstract 201 | PDF Downloads 87 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2429

Wind Turbine Intelligent Gear Fault Identification

Sofia Koukoura, James Carroll, Alasdair McDonald
Abstract 139 | PDF Downloads 488 | DOI https://doi.org/10.36001/phmconf.2017.v9i1.2427