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

Edited by:

Chetan Kulkarni and Abhinav Saxena

Published: 2022-10-28

Technical Research Papers

A Dataset for Fault Classification in Rock Drills, a Fast Oscillating Hydraulic System

Erik Jakobsson, Erik Frisk, Mattias Krysander, Robert Pettersson
Abstract 348 | PDF Downloads 240

A Data Quality Scorecard for Assessing the Suitability of Asset Condition Data for Prognostics Modeling

Sarah Lukens, Damon Rousis, Travis Baer, Michael Lujan, Marshall Smith
Abstract 297 | PDF Downloads 292 Slides (PDF) Downloads 81

Critical Components' Selection Methodology of a Microgripper for Intracorporeal Surgery

Liseth Pasaguayo, Zeina Al Masry, Sergio Lescano, Noureddine Zerhouni
Abstract 209 | PDF Downloads 193

Remaining useful life estimation of turbofan engines using adaptive fault detection learning

Moncef Soualhi, K Nguyen, Kamal Medjaher, N Zerhouni
Abstract 310 | PDF Downloads 308

Self adaptive learning scheme for Fault prognosis in oil wells and production & service lines

Aymen Harrouz, Houari Toubakh, Redouane Kafi, Moamar Sayed-Mouchaweh, Hajer Salem
Abstract 234 | PDF Downloads 205

Integration of Nonlinear Dynamics and Machine learning for Diagnostics of a Single-Stage Gear Box

Ahmad Alqawasmi, Turki Haj Mohamad, Amirhassan Abbasi, Prashant N. Kambali, C. Nataraj
Abstract 307 | PDF Downloads 256

A Discussion on the Differences Between the Cyclic Spectral Correlation and Coherence for Cyclostationarity-Based Condition Monitoring

Kayacan Kestel, Cédric Peeters, Jérôme Antoni, Quentin Léclere, Franc ̧ois Girardin, Robert Brijder, Jan Helsen
Abstract 296 | PDF Downloads 216

Remaining Useful Life Prediction using Gaussian Process Regression Model

Katarina Vuckovic, Shashvat Prakash
Abstract 439 | PDF Downloads 345

Interpretable Neural Network with Limited Weights for Constructing Simple and Explainable HI using SHM Data

Morteza Moradi, Panagiotis Komninos, Rinze Benedictus, Dimitrios Zarouchas
Abstract 379 | PDF Downloads 215

Variable Perturbation Based Fault Diagnosis for Industrial Process

Tanmaya Singhal, Kuldeep Singh, Kalyani Zope, Sri Harsha Nistala, Venkataramana Runkana
Abstract 224 | PDF Downloads 197

Unsupervised Data-Driven Approach for Fault Diagnostic of Spacecraft Gyroscope

Hicham Henna, Houari Toubakh, Mohamed Redouane KAFI, Moamar Sayed MOUCHAWEH
Abstract 215 | PDF Downloads 197

ML Detection and Isolation of Functional Failures using Syndrome Diagnostics

Yan Li, Daniel Chan, Navid Zaman, Evan Apostolou, Paddy Conroy
Abstract 233 | PDF Downloads 224

Investigation of the Vibration Induced Harness Failure

Yan Chen, Zaffir Chaudhry, William Luker, Marek Zajac
Abstract 198 | PDF Downloads 258

Data Analytics and Visualization Application for Asset Health Monitoring

Richard Carley, Sara Fuller, William Bond, Parker Jones, David Allen, Adam Jordan, Terrill Falls
Abstract 3520 | PDF Downloads 243

A Statistical Classification Approach to Valve Condition Monitoring Using Pressure Features

Jacob Chesnes, Jason Kolodziej, Daniel Nelson
Abstract 204 | PDF Downloads 227

Development of an End State Vision to Implement Digital Monitoring in Nuclear Plants

Cody Walker, Vivek Agarwal, Pradeep Ramuhalli, Nancy Lybeck
Abstract 184 | PDF Downloads 268

Generating Semantic Matches Between Maintenance Work Orders for Diagnostic Decision Support

Syed Meesam Raza Naqvi, Mohammad Ghufran, Safa Meraghni, Christophe Varnier, Jean-Marc Nicod, Noureddine Zerhouni
Abstract 257 | PDF Downloads 222

Feasibility of Low-cost Vibration Monitoring for Ground Vehicles

Abu Islam, Matthew Sullivan, Sean McConky, Michael Thurston, Adam Agosti, Nenad Nenadic
Abstract 223 | PDF Downloads 200

Developing Deep Learning Models for System Remaining Useful Life Predictions: Application to Aircraft Engines

Timothy Darrah, Andreas Lovberg, Jeremy Frank, Gautam Biswas, Marcos Quinones-Gruiero
Abstract 881 | PDF Downloads 263

A Control Approach to Fault Disambiguation

Ion Matei, Maksym Zhenirovsky, Johan de Kleer, Kai Goebel
Abstract 232 | PDF Downloads 185

Wheel Bearing Fault Detection for Automobiles using Wheel Speed Sensor

Samba Drame, Graeme Garner, Hossein Sadjadi, Xinyu Du
Abstract 272 | PDF Downloads 200

Predictive System Reconfiguration for Fulfillment of Future Mission Requirements

Bruno Paes Leao, Justinian Rosca, David Fecek, Karl Reichard, Xianyong Feng
Abstract 202 | PDF Downloads 162

Multi-Kernel based Adaptive Support Vector Machine for Scalable Predictive Maintenance

Koushik Manjunatha, Vivek Agarwal
Abstract 193 | PDF Downloads 168

A Methodology for Online Sensor Recalibration

Ramuhalli Pradeep, Michael Muhlheim, Askin Guler Yigitoglu, Alex Huning, Abhinav Saxena
Abstract 232 | PDF Downloads 180

Integrated Vehicle Health Monitoring on a Truck

Eric Bechhoefer, Joelle Kessler
Abstract 318 | PDF Downloads 186

Evaluation of NVIDIA Jetson System for Vibration HUMS

Nenad Nenadic, Christopher Valant, Sean McConky, Michael Thurston, Patrick Horney, Allen Jones
Abstract 200 | PDF Downloads 215

An Ontology for Prognostic Health Management in Spacecraft Avionics

Michael Cullen Halvorson, Noah Moyers, I. Dale Thomas
Abstract 257 | PDF Downloads 185

Application of Convolutional and Feedforward Neural Networks for Fault Detection in Particle Accelerator Power Systems

Majdi Radaideh, Chris Pappas, Pradeep Ramuhalli, Sarah Cousineau
Abstract 278 | PDF Downloads 181

Mixed Initiative Approach for Reliable Tagging of Maintenance Records with Machine Learning

Naresh Iyer, Nurali Virani, Zhaoyuan Yang, Abhinav Saxena
Abstract 329 | PDF Downloads 231

A Transfer Learning-Based Rolling Bearing Fault Diagnosis Across Machines

Dandan Peng, Chenyu Liu, Konstantinos Gryllias
Abstract 361 | PDF Downloads 223

A Data-Driven Snapshot Method for State of Health Modelling and Diagnostics of Maritime Battery Systems

Erik Vanem, Maximilian Bruch, Qin Liang, David Vicente Reyes Gonzalez, Øystein Åsheim Alnes
Abstract 283 | PDF Downloads 195

A Causal Approach to Integrate Component Health Data into System Reliability Models

Diego Mandelli, Congjian Wang
Abstract 172 | PDF Downloads 147 Slides (PDF) Downloads 28

Equipment Vibration Condition Monitoring Technology Based on Spectrum Image Deep Learning Models

Gun Sik Kim, Deog Hyeon Kim, Jae Min Lee, Jin Woo Park
Abstract 180 | PDF Downloads 179

Fault Injection Method and Ground-truth Development to Enable a Low-cost Bearing Fault Monitoring System in the Automotive Industry

Ehsan Jafarzadeh, Dezhi Li, Sara Rahimifard, Paola Sant Anna, Yu Cao, Hossein Sadjadi
Abstract 185 | PDF Downloads 124

A Model Based Approach to Extract Health Information from Textual Data

Diego Mandelli, Congjian Wang
Abstract 215 | PDF Downloads 190 Slides (PDF) Downloads 50

A Framework to Rank Prognostics Health Indicators with Application to Brake Rotors

Hamed Kazemi, Xinyu Du, Hossein Sadjadi
Abstract 203 | PDF Downloads 138

A Novel Technique for Data Quality Improvement in Human Health PHM

John Taco, Brandon Foreman, Pradeep Kundu, Jay Lee
Abstract 241 | PDF Downloads 176

TireEye: Optical On-board Tire Wear Detection

Sebastian Huber, Peter Preindl, Johannes Betz
Abstract 263 | PDF Downloads 352

Learning Data-Driven Model of Damped Coupled Oscillators from System Impulse Response

Jacob Fabro, Gregory W. Vogl, Yongzhi Qu, Reese Eischens
Abstract 173 | PDF Downloads 173

Accelerometer-Based Bearing Condition Indicator Estimation Using Semi-Supervised Adaptive DSVDD

Maarten Meire, Robert Brijder, Gert Dekkers, Peter Karsmakers
Abstract 233 | PDF Downloads 191

Enabling in-time prognostics with surrogate modeling through physics-enhanced Dynamic Mode Decomposition method

Katelyn Jarvis, Matteo Corbetta, Christopher Teubert, Stefan Schuet
Abstract 237 | PDF Downloads 222

A Framework for Evaluating Analytic Hyperparameters

Shashvat Prakash, Antoni Brzoska, Sanket Amin
Abstract 154 | PDF Downloads 176

Probabilistic Safety Assessment in Composite Materials using BNN by ABC-SS

Juan Fernández, Juan Chiachío, Manuel Chiachío, Ali Saleh
Abstract 204 | PDF Downloads 160

Voltage-Based Physical Layer Fault Diagnosis for Controller Area Network

Alaeddin Bani Milhim, Hadyan Ramadhan, Hamed Kazemi, Xinyu Du, Shengbing Jiang, Hossein Sadjadi
Abstract 238 | PDF Downloads 146

Physics Informed Deep Learning for Tracker Fault Detection in Photovoltaic Power Plants

Jannik Zgraggen, Yuyan Guo, Antonio Notaristefano, Lilach Goren Huber
Abstract 389 | PDF Downloads 235

Evaluating Vector Representations of Short Text Data for Automating Recommendations of Maintenance Cases

Akshay Peshave, Kareem Aggour, Asma Ali, Varish Mulwad, Sharad Dixit, Abhinav Saxena
Abstract 262 | PDF Downloads 173

Unsupervised Anomaly Detection Using Batteries in Electric Aerial Vehicle Propulsion Test-Bed

John Pace, Jubilee Prasad Rao, Jesse Williams, Liang He
Abstract 282 | PDF Downloads 230

Improving the Performance of Bearing Fault Detection on a Turbo Shaft Engine

Eric Bechhoefer, Joshua Kethan
Abstract 243 | PDF Downloads 228

Data Challenge Papers

Domain Adaptation based Fault Diagnosis under Variable Operating Conditions of a Rock Drill

Yong Chae Kim, Taehun Kim, Jin Uk Ko, Jinwook Lee, Keon Kim
Abstract 314 |

Feature Design, Selection, and Model Optimization for Fault Classification in a Hydraulic Rock Drill

Jose Montoya-Bedoya, Russell Graves, Shyam Joshi, Mahaveer Satra
Abstract 162 |

A Hybrid Approach of Data-Driven and Signal Processing-Based Methods for Fault Diagnosis of Hydraulic Rock Drill

Hye Jun Oh, Jinoh Yoo, Sangkyung Lee, Minseok Chae, Jongmin Park, Byeng D Youn
Abstract 276 |

Doctoral Symposium Summaries

Poster Presentations

Novel Model-Based Decision Support System for Reliable Human Machine Systems in Complex Situations

Abderahman Bejaoui, Chao He, Dirk Söffker
Abstract 115 | PDF Downloads 82

Self-supervised Learning for Efficient Remaining Useful Life Prediction

Wilhelm Söderkvist Vermelin, Andreas Lövberg, Konstantinos Kyprianidis
Abstract 208 | PDF Downloads 133

Towards Bearings Prognostics Based on Oil Debris

Orel Portal, Jacob Bortman
Abstract 150 | PDF Downloads 99

Data Driven Condition Monitoring Based on a Digital Twin for a Linear Actuator Realized As a Closed Hydraulic System

Kurt Pichler, Paul Foschum, Rainer Haas, Johannes Schwacke
Abstract 113 | PDF Downloads 103

Unsupervised Machine Learning and Data mining Techniques for Telematics data to uncover fault behaviour

Gaurav Khadse, Ravi Jambhale, Deepa Tavargeri Adiga, Prasanna P Tagare, Nilesh Powar
Abstract 320 | PDF Downloads 164

FliPSi: Generating Data for the Training of Machine Learning Algorithms for CPPS

Maria Krantz, Niklas Widulle, Anna Nordhausen, Artur Liebert, Jonas Ehrhardt, Sebastian Eilermann, Oliver Niggemann
Abstract 218 | PDF Downloads 117

Corrosion Risk Estimation and Cause Analysis on Turbofan Engine

Jérôme Lacaille, Raphaël Langhendries
Abstract 110 | PDF Downloads 75

Federated Learning on Tamperproof Data for PHM on Marine Vessels Using a Docker Based Infrastructure

Nikita Karandikar, Knut Erik Knutsen, Shuai Wang, Grunde Løvoll
Abstract 342 | PDF Downloads 99

Leveraging Within-Bank Comparison for Anomaly Detection, Diagnostics, and Prognostics in Advanced Nuclear Power Plants

Nicholas Fullilove, Daniel Dos Santos, Abhinav Saxena, Jamie Coble
Abstract 183 | PDF Downloads 105

The PHM Digital Hierarchy of Needs

Joseph Barta, Ethan Erlhoff, Dania Alfeerawi
Abstract 215 | PDF Downloads 382