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
Technical Research Papers
Machining Tool and Bearing Failure Analysis Using the Orthogonal Hilbert-Huang Transform on Vibration and Motor Current Datasets
Trent Furlong, Karl Reichard
Towards Predictive Maintenance of a Heavy-Duty Gas Turbine A New Hybrid Intelligent Methodology for Performance Simulation
Yiyang Liu, Xiaomo Jiang
A Dataset for Fault Classification in Rock Drills, a Fast Oscillating Hydraulic System
Erik Jakobsson, Erik Frisk, Mattias Krysander, Robert Pettersson
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
Critical Components' Selection Methodology of a Microgripper for Intracorporeal Surgery
Liseth Pasaguayo, Zeina Al Masry, Sergio Lescano, Noureddine Zerhouni
Remaining useful life estimation of turbofan engines using adaptive fault detection learning
Moncef Soualhi, K Nguyen, Kamal Medjaher, N Zerhouni
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
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
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
Remaining Useful Life Prediction using Gaussian Process Regression Model
Katarina Vuckovic, Shashvat Prakash
Interpretable Neural Network with Limited Weights for Constructing Simple and Explainable HI using SHM Data
Morteza Moradi, Panagiotis Komninos, Rinze Benedictus, Dimitrios Zarouchas
Variable Perturbation Based Fault Diagnosis for Industrial Process
Tanmaya Singhal, Kuldeep Singh, Kalyani Zope, Sri Harsha Nistala, Venkataramana Runkana
A New Data Processing Method for Acoustic Emission Signals for Metalworking Fluid Classification
Xiao Wei, Dirk Soeffker
Unsupervised Data-Driven Approach for Fault Diagnostic of Spacecraft Gyroscope
Hicham Henna, Houari Toubakh, Mohamed Redouane KAFI, Moamar Sayed MOUCHAWEH
ML Detection and Isolation of Functional Failures using Syndrome Diagnostics
Yan Li, Daniel Chan, Navid Zaman, Evan Apostolou, Paddy Conroy
Investigation of the Vibration Induced Harness Failure
Yan Chen, Zaffir Chaudhry, William Luker, Marek Zajac
Data Analytics and Visualization Application for Asset Health Monitoring
Richard Carley, Sara Fuller, William Bond, Parker Jones, David Allen, Adam Jordan, Terrill Falls
A Statistical Classification Approach to Valve Condition Monitoring Using Pressure Features
Jacob Chesnes, Jason Kolodziej, Daniel Nelson
Development of an End State Vision to Implement Digital Monitoring in Nuclear Plants
Cody Walker, Vivek Agarwal, Pradeep Ramuhalli, Nancy Lybeck
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
Feasibility of Low-cost Vibration Monitoring for Ground Vehicles
Abu Islam, Matthew Sullivan, Sean McConky, Michael Thurston, Adam Agosti, Nenad Nenadic
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
SafeMAP: Safe Multi-Agent Planning framework based on Dynamic Probabilistic Risk Assessment
Mohammad Hejase, Portia Banerjee
A Control Approach to Fault Disambiguation
Ion Matei, Maksym Zhenirovsky, Johan de Kleer, Kai Goebel
Wheel Bearing Fault Detection for Automobiles using Wheel Speed Sensor
Samba Drame, Graeme Garner, Hossein Sadjadi, Xinyu Du
Predictive System Reconfiguration for Fulfillment of Future Mission Requirements
Bruno Paes Leao, Justinian Rosca, David Fecek, Karl Reichard, Xianyong Feng
Multi-Kernel based Adaptive Support Vector Machine for Scalable Predictive Maintenance
Koushik Manjunatha, Vivek Agarwal
A Methodology for Online Sensor Recalibration
Ramuhalli Pradeep, Michael Muhlheim, Askin Guler Yigitoglu, Alex Huning, Abhinav Saxena
Integrated Vehicle Health Monitoring on a Truck
Eric Bechhoefer, Joelle Kessler
Evaluation of NVIDIA Jetson System for Vibration HUMS
Nenad Nenadic, Christopher Valant, Sean McConky, Michael Thurston, Patrick Horney, Allen Jones
An Ontology for Prognostic Health Management in Spacecraft Avionics
Michael Cullen Halvorson, Noah Moyers, I. Dale Thomas
Application of Convolutional and Feedforward Neural Networks for Fault Detection in Particle Accelerator Power Systems
Majdi Radaideh, Chris Pappas, Pradeep Ramuhalli, Sarah Cousineau
Mixed Initiative Approach for Reliable Tagging of Maintenance Records with Machine Learning
Naresh Iyer, Nurali Virani, Zhaoyuan Yang, Abhinav Saxena
A Transfer Learning-Based Rolling Bearing Fault Diagnosis Across Machines
Dandan Peng, Chenyu Liu, Konstantinos Gryllias
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
A Causal Approach to Integrate Component Health Data into System Reliability Models
Diego Mandelli, Congjian Wang
Partially Supervised Classification for Industrial System using Deep Neural Network
Hao Huang, Tapan Shah
Equipment Vibration Condition Monitoring Technology Based on Spectrum Image Deep Learning Models
Gun Sik Kim, Deog Hyeon Kim, Jae Min Lee, Jin Woo Park
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
A Model Based Approach to Extract Health Information from Textual Data
Diego Mandelli, Congjian Wang
A Framework to Rank Prognostics Health Indicators with Application to Brake Rotors
Hamed Kazemi, Xinyu Du, Hossein Sadjadi
A Novel Technique for Data Quality Improvement in Human Health PHM
John Taco, Brandon Foreman, Pradeep Kundu, Jay Lee
TireEye: Optical On-board Tire Wear Detection
Sebastian Huber, Peter Preindl, Johannes Betz
A Fault Detection Technique based on Deep Transfer Learning from Experimental Linear Actuator to Real-World Railway Door Systems
Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano
A Gentle Correctness Verification of the Theory of Uncertain Event Prognosis to Compute Failure Time Probability
David Acuña-Ureta, Marcos Orchard
An Assessment of Different Reinforcement Learning Methods for Creating a Decision Support System Based on the Petri Net Model
Ali Saleh, Manuel Chiachio
Learning Data-Driven Model of Damped Coupled Oscillators from System Impulse Response
Jacob Fabro, Gregory W. Vogl, Yongzhi Qu, Reese Eischens
Evaluation of Different PHM Strategies on the Performances of a Prognostic Framework for Electro-Hydraulic Actuators for Stability Control Augmentation Systems
Andrea De Martin, Giovanni Jacazio, Massimo Sorli
Accelerometer-Based Bearing Condition Indicator Estimation Using Semi-Supervised Adaptive DSVDD
Maarten Meire, Robert Brijder, Gert Dekkers, Peter Karsmakers
Enabling in-time prognostics with surrogate modeling through physics-enhanced Dynamic Mode Decomposition method
Katelyn Jarvis, Matteo Corbetta, Christopher Teubert, Stefan Schuet
A Framework for Evaluating Analytic Hyperparameters
Shashvat Prakash, Antoni Brzoska, Sanket Amin
Probabilistic Safety Assessment in Composite Materials using BNN by ABC-SS
Juan Fernández, Juan Chiachío, Manuel Chiachío, Ali Saleh
Voltage-Based Physical Layer Fault Diagnosis for Controller Area Network
Alaeddin Bani Milhim, Hadyan Ramadhan, Hamed Kazemi, Xinyu Du, Shengbing Jiang, Hossein Sadjadi
Physics Informed Deep Learning for Tracker Fault Detection in Photovoltaic Power Plants
Jannik Zgraggen, Yuyan Guo, Antonio Notaristefano, Lilach Goren Huber
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
Unsupervised Anomaly Detection Using Batteries in Electric Aerial Vehicle Propulsion Test-Bed
John Pace, Jubilee Prasad Rao, Jesse Williams, Liang He
Improving the Performance of Bearing Fault Detection on a Turbo Shaft Engine
Eric Bechhoefer, Joshua Kethan
Online Battery SOH Prediction under Intra-Cycle Variation of Discharge Current and Non-Standard Charging and Discharging Practices
Areum Kim, Sukhan Lee
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
Feature Design, Selection, and Model Optimization for Fault Classification in a Hydraulic Rock Drill
Jose Montoya-Bedoya, Russell Graves, Shyam Joshi, Mahaveer Satra
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
Doctoral Symposium Summaries
Modeling Degradation Systems with Latent States: A Framework with State Space Models and Recurrent Neural Network
Md Tanzin Farhat, Ramin Moghaddass
Securing Deep Learning against Adversarial Attacks for Connected and Automated Vehicles
Chunheng Zhao, Pierluigi Pisu
Risk-Informed Operations and Maintenance Decision Making Using Deep Reinforcement Learning
Ryan Spangler
Development of an Open Distributed Digital Twin Model for Effective Asset management in Industrial Internet of Things (IIOT)
Ibrahim Abdullahi, Dr Suresh P.
Novel Characterization of Micro-scale Anomalies in Adhesively Jointed Structures
Do-Kyung Pyun, Daniel J. Barnard, Leonard J. Bond
An Adaptive Modeling Framework for Prognostics and Health Management of Manufacturing Machinery
Maxwell Toothman
PHM-enabled Production Planning and Control Process
Kevin Wesendrup
Remaining useful life of a microgripper for intracorporeal surgeries
Liseth Victoria Pasaguayo Baez
Artificial Intelligence and Physics-of-Failure Prognostics Methods for Aircraft Maintenance and Reliability
Thomas Pioger, Marcia Baptista
Spatio-Temporal Fractal Manifold Learning on Structure Health Monitoring
Nan Xu
Poster Presentations
Novel Model-Based Decision Support System for Reliable Human Machine Systems in Complex Situations
Abderahman Bejaoui, Chao He, Dirk Söffker
Self-supervised Learning for Efficient Remaining Useful Life Prediction
Wilhelm Söderkvist Vermelin, Andreas Lövberg, Konstantinos Kyprianidis
Towards Bearings Prognostics Based on Oil Debris
Orel Portal, Jacob Bortman
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
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
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
Industry 4.0 for Aerospace Manufacturing: Condition Based Maintenance Methodology, Implementation and Challenges
Xiaorui, Shaun, Chetan
Corrosion Risk Estimation and Cause Analysis on Turbofan Engine
Jérôme Lacaille, Raphaël Langhendries
Federated Learning on Tamperproof Data for PHM on Marine Vessels Using a Docker Based Infrastructure
Nikita Karandikar, Knut Erik Knutsen, Shuai Wang, Grunde Løvoll
Leveraging Within-Bank Comparison for Anomaly Detection, Diagnostics, and Prognostics in Advanced Nuclear Power Plants
Nicholas Fullilove, Daniel Dos Santos, Abhinav Saxena, Jamie Coble
The PHM Digital Hierarchy of Needs
Joseph Barta, Ethan Erlhoff, Dania Alfeerawi