About the Journal

The annual Conference of the Prognostics and Health Management (PHM) Society is held each autum in North America and brings together the global community of PHM experts from industry, academia, and government in diverse application areas including energy, aerospace, transportation, automotive, manufacturing, and industrial automation.

All articles published by the PHM Society are available to the global PHM community via the internet for free and without any restrictions.


Current Issue

ISBN – 978-1-936263-35-6

Edited by:

Chetan Kulkarni, Abhinav Saxena, and Felipe Viana

Published: 2021-11-24

Technical Papers

A Data Management Framework & UAV Simulation Testbed for the Study of System-level Prognostics Technologies

Timothy Darrah, Jeremy Frank, Marcos Quinones-Grueiro, Gautam Biswas
Abstract 288 | PDF Downloads 199
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A Particle-Swarm-Optimization-Based Approach for the State-of-Charge Estimation of an Electric Vehicle When Driven Under Real Conditions

Aramis Perez, Francisco Jaramillo, Cesar Baeza, Martin Valderrama, Vanessa Quintero, Marcos Orchard
Abstract 333 | PDF Downloads 157
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A Study of Deep Neural Networks Transfer Learning For Fault Diagnosis Applications

Michael Franco-Garcia, Nithya Nalluri, Alex Benasutti, Larry Pearlstein, Mohammed Alabsi
Abstract 275 | PDF Downloads 183
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Active Learning Framework for Time-Series Classification of Vibration and Industrial Process Data

Sergio Martin del Campo Barraza, William Lindskog, Davide Badalotti, Oskar Liew, Arash Toyser
Abstract 276 | PDF Downloads 240
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Aligning the Production Planning and Control Process with Prognostics and Health Management

Kevin Wesendrup, Bernd Hellingrath
Abstract 186 | PDF Downloads 114
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An Application Based Comparison of Statistical Versus Deep Learning Approaches to Reciprocating Compressor Valve Condition Monitoring

Jacob Chesnes, Jason Kolodziej
Abstract 184 | PDF Downloads 126
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An End-to-End Learning Framework for Early Prediction of Battery Capacity Trajectory

Jinqiang Liu, Adam Thelen, Chao Hu, Xiao-Guang Yang
Abstract 251 | PDF Downloads 188
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An Offline Deep Reinforcement Learning for Maintenance Decision-Making

Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed Farahat
Abstract 204 | PDF Downloads 113
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Analysis of the Deployment Strategies of Reinforcement Learning Controllers for Complex Dynamic Systems

Ibrahim Ahmed, Marcos Quinones Grueiro, Gautam Biswas
Abstract 177 | PDF Downloads 111
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Autoencoder Based Anomaly Detector for Gear Tooth Bending Fatigue Cracks

Adrian Hood, Christopher Valant, Patrick Horney, Allen Jones, Jared S. Lantner, Josiah Martuscello, Nenad Nenadic
Abstract 226 | PDF Downloads 117
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Bayesian Network Based Causal Map Generation and Root Cause Identification in Complex Industrial Processes

Kalyani Zope, Tanmaya Singhal, Sri Harsha Nistala, Venkataramana Runkana
Abstract 302 | PDF Downloads 177
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Brinell Fault Injection to Enable Development of a Wheel Bearing Fault Monitoring System for Automobiles

Graeme Garner, Samba Drame, Xinyu Du, Hossein Sadjadi
Abstract 158 | PDF Downloads 92
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Collaborative Prognostics for Machine Fleets Using a Novel Federated Baseline Learner

Vibhor Pandhare, Xiaodong Jia, Jay Lee
Abstract 260 | PDF Downloads 161
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Condition Monitoring of Wind Turbines and Extraction of Healthy Training Data using an Ensemble of Advanced Statistical Anomaly Detection Models

Xavier Chesterman, Timothy Verstraeten, Pieter-Jan Daems, Ann Nowé, Jan Helsen
Abstract 242 | PDF Downloads 135
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Data-Driven Diagnostics and Prognostics for Modelling the State of Health of Maritime Battery Systems – a Review

Erik Vanem, Øystein Åsheim Alnes, James Lam
Abstract 269 | PDF Downloads 226
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Deep Unsupervised Transfer Learning for Health Status Prediction of a Fleet of Wind Turbines with Unbalanced Data

Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias
Abstract 249 | PDF Downloads 112
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Degradation Detection for Internal Gear Pumps using Pressure Reduction Time Maps

Kurt Pichler, Rainer Haas, Veronika Putz, Christian Kastl
Abstract 208 | PDF Downloads 136
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Diagnosing Systems through Approximated Information

Alexander Diedrich, Oliver Niggemann
Abstract 165 | PDF Downloads 99
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Digital Twin-Driven Process and Equipment FMECA Generation for Smart Manufacturing Applications

Sudipto Ghoshal, Jay Meyer, Venkat Malepati, Caleb Hudson, Somnath Deb, Andrew Hess, Feraidoon Zahiri, Gregory Sutton
Abstract 847 | PDF Downloads 714
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Electric Power Steering Power Circuit Health Assessment and Mitigation Strategy

Wen-Chiao Lin, Graeme Garner, Yat-Chung Tang, Arash Mohtat
Abstract 154 | PDF Downloads 79
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Enhancing the Diagnostic Performance of Condition Based Maintenance Through the Fusion of Sensor with Maintenance Data

Henrik Simon, Sascha Schoenhof
Abstract 243 | PDF Downloads 569
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Estimating Dynamic Cutting Forces of Machine Tools from Measured Vibrations using Sparse Regression with Nonlinear Function Basis

Yongzhi Qu, Gregory W. Vogl
Abstract 173 | PDF Downloads 140
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Evaluating and Optimizing Analytic Signals

Shashvat Prakash, Antoni Brzoska
Abstract 1462 | PDF Downloads 564
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Explainable Machinery Faults Prediction Using Ensemble Tree Classifiers: Bagging or Boosting?

Somayeh Bakkhtiari Ramezani, Amin Amirlatifi, Thomas Kirby, Maria Seale, Shahram Rahimi
Abstract 198 | PDF Downloads 120
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Exploring Cloud Assisted Tiny Machine Learning Application Patterns for PHM Scenarios

Xingyu Zhou, Zhuangwei Kang, Robert Canady, Shunxing Bao, Daniel Allen Balasubramanian, Aniruddha Gokhale
Abstract 387 | PDF Downloads 232
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Fault Detection in a Physcially Redundant MEMS Accelerometer Array

Daniel Watson, Karl Reichard
Abstract 159 | PDF Downloads 102
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Fault Detection via Sparsity-based Blind Filtering on Experimental Vibration Signals

Kayacan Kestel, Cédric Peeters, Jérôme Antoni, Jan Helsen
Abstract 208 | PDF Downloads 120
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Health Indicators to Estimate Health of Magnetic Wheel Encoder

Jasmeet Singh Ladoiye, Douglas Spry, Milad Jalali
Abstract 138 | PDF Downloads 94
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Interpretation of Deep Learning Models in Bearing Fault Diagnosis

Menno Liefstingh, Cees Taal, Sebastián Echeverri Restrepo, Alireza Azarfar
Abstract 489 | PDF Downloads 233
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Learning an Optimal Operational Strategy for Service Life Extension of Gear Wheels with Double Deep Q Networks

Mark Henss, Yvonne Gretzinger, Tamer Tevetoglu, Maximilian Posner, Bernd Bertsche
Abstract 178 | PDF Downloads 89
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Li-ion Battery Aging with Hybrid Physics-Informed Neural Networks and Fleet-wide Data

Renato G. Nascimento, Matteo Corbetta, Chetan S. Kulkarni, Felipe A. C. Viana
Abstract 346 | PDF Downloads 237
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Methodology on Establishing Multivariate Failure Thresholds for Improved Remaining Useful Life Prediction in PHM

Wenzhe Li, Xiaodong Jia, Yuan-Ming Hsu, Youwen Liu, Jay Lee
Abstract 246 | PDF Downloads 170
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Methods to Improve the Prognostics of Time-to-Failure Models

Edward Baumann, Pedro A. Forero, Gray Selby, Charles Hsu
Abstract 270 | PDF Downloads 129
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Modeling Health Status Identification in a Gas Turbine System: Three-Class Classification Approaches

Catherine Cheung, Calista Biondic, Zouhair Hamaimou, Julio J. Valdes
Abstract 135 | PDF Downloads 84
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Modeling the Business Value of a Predictive Maintenance System using Monte Carlo Simulation

Graeme Garner, Paola Santanna, Hossein Sadjadi
Abstract 325 | PDF Downloads 106
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Model-based Damage Detection through Physics Guided Learning

Ali I. Ozdagli, Xenofon Koutsoukos
Abstract 191 | PDF Downloads 139
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On Adversarial Vulnerability of PHM algorithms – An initial Study

Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu
Abstract 140 | PDF Downloads 86
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Prognostics and Secure Health Management of Electronic Systems in a Zero-Trust Environment

Varun Khemani, Michael H. Azarian, Michael G. Pecht
Abstract 238 | PDF Downloads 129
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Remaining Useful Life Calculation of a Component using Hybrid Fatigue Crack Model

Eric Bechhoefer, Lei Xiao, Xinghui Zhang
Abstract 174 | PDF Downloads 121
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Remaining Useful Life Estimation using Event Data

Mahbubul Alam, Laleh Jalali, Dipanjan Ghosh, Ahmed Farahat, Chetan Gupta
Abstract 297 | PDF Downloads 160
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Safety Diagnostics and Degraded Operational Modes for Off-road Unmanned Ground Combat Vehicles

Naveen Aditya Verma Dantuluri, Pierluigi Pisu
Abstract 187 | PDF Downloads 109
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Suspension Fault Diagnostics Using Vehicle Pitch and Roll Models

XinyuDu, Lichao Mai, Hossein Sadjadi
Abstract 162 | PDF Downloads 128
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Data Challenge Winners

Inception Based Deep Convolutional Neural Network for Remaining Useful Life Estimation of Turbofan Engines

Nathaniel DeVol, Christopher Saldana, Katherine Fu
Abstract 248 | PDF Downloads 220
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Remaining Useful Life Prediction of Aircraft Engines with Variable Length Input Sequences

Andreas L¨ovberg
Abstract 358 | PDF Downloads 204
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A Stacked Deep Convolutional Neural Network to Predict the Remaining Useful Life of a Turbofan Engine

David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz
Abstract 437 | PDF Downloads 270
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Poster Presentations

Building an Air Turbine Conditional Anomaly Detection Approach for Wave Power Plants

Jose Ignacio Aizpurua, Markel Penalba, Natalia Kirillova, Illart Alcorta, Jon Lekube, Dorleta Marina
Abstract 157 | PDF Downloads 73
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Enhanced Visualization of Production Systems Concepts and Simulation Data for the Smart/Digital Factory

James Ong, Anand Paul, Daniel Tuohy, Feraidoon Zahiri, Gregory Sutton
Abstract 955 | PDF Downloads 44
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Strategies to Improve Robustness of a Health Monitoring System, with Application to Brake Rotors

Hamed Kazemi, Graeme Garner, Samba Drame, Xinyu Du, Hossein Sadjadi
Abstract 173 | PDF Downloads 62
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