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:
David He
Chetan Kulkarni
Published: 2026-09-28
Technical Research Papers
A Cross-Phase Prognostic Framework for Emergent Work Risk Assessment and Schedule Decision Support in Nuclear Refueling Outages
Diego Mandelli, Congjian Wang
A Cyber-Physical Testbed for Hierarchical Fault Isolation in Bilateral Systems: Multi-Domain Fusion with Attention-Derived Laterality Attribution
Jagadeesh Harinarayanan
A Hybrid Physics and Machine Learning Digital Twin for Remaining Useful Life Prediction of SiC Power Modules in Traction Inverters
Kooros Moabber, Hamed Talebi, Mahmoud Rahat
A Knowledge-Graph-Guided Diagnostic Pipeline for Root Cause Analysis of Equipment Failures in Nuclear Power Plant
Diego Mandelli, Congjian Wang
A Sequential Bayesian Semi Markov Framework for Mission Based Prognostics
Mariana Salinas-Camus, Nick Eleftheroglou
An End-to-End PHM Framework for Industrial Compressor Gearbox Fault Detection and RUL Prediction
Changik Cho, Eric Bechhoefer
Comparative Evaluation of Multimodal Fusion Architectures for Cyber Physical System Anomaly Classification
Lukmon Rasaq, Om Prakash Yadav, Madhuri Siddula Siddula, Joao Paulo Jacomini Prioli
Cluster-Based Permutation Tests for Automated Identification of Critical Frequency Bands in Vibration Data
Neil Eklund, Adam Wechsler, Colin Dingley, Sherwood Polter, Khai Van
Demonstration-Based Visual Anomaly Detection in Manufacturing Factory Using Vision-Language Models
Huimin Zhuge, Song Wang, Huijuan Shao, Brian Chien, Dipanjan Ghosh
DiFG-Net++: Physics-Informed Functional Learning for Self-Supervised and Domain-Adaptive Fault Diagnosis
David He, Miao He, Muhammad Areeb
Disentangling Prognostic Observability from Policy Stochasticity in PHM-Aware Reinforcement Learning for Semiconductor Fab Dispatch
Sean Mondesire, Tori Wright, Bulent Soykan
Experimental Sensitivity Analysis for LVAD Obstruction Detection Using Acoustic Sensing
David M. Donahower, Steven W. Day, Karl Q. Schwarz, Jason R. Kolodziej
Explainable Temporal Attribution for Time-Series-Based Quality Prediction in Injection Molding
Yulin Wang, Elke Deckers, Konstantinos Gryllias
Fault Detection and Remaining Useful Life Estimation of a Scuffed Gear
Eric Bechhoefer, Changik Cho, Lotfi Saidi
FE-Based Data Generation for Structural Integrity Verification with Neural Networks
Maximilian Posner, Martin Dazer
IndusDiff: A Latent Diffusion Framework for Industrial Audio Generation for Data-Scarce PHM
Muhammad Areeb, Jida Huang, Sudhir Rajagopalan, Merrill Edmonds, Miao He, David He
Model-Based Online Detection, Quantification and Localization of Internal Short Circuits in Lithium-Ion Pouch Cells via an Unscented Kalman Filter
Lorenzo Branca, Yiqi Jia, Danyang Wang, Marco Giglio, Francesco Cadini
Part Analytics using Digital Threads
Miriam Alvarez-Pintor, Santosh Bhatt
Physics-Informed Condition Monitoring of SiC Power Modules
Mattia Scarpa, Evgeny Kusmenko, Francesco Toso, Mattia Bruschetta, Ruggero Carli, Simon Achatz
Physics-Informed Operator Learning for Real-Time Battery State Estimation and Health Monitoring
Alexander Harej, Marco Giglio, Francesco Cadini
Planning or Learning: Reliability and Cost in Multi-Asset Maintenance
Xian Yeow Lee, Chandrasekar Venkatraman, Ahmed Farahat
Resource-Aware Model Comparison for DASHlink Multi-Class Flight-Anomaly Screening
Keanan Milton, Ge Zhou
Self-Supervised Representation Learning for Remaining Useful Life Prediction:
Mohammad Badfar, Murat Yildirim, Ratna Babu Chinnam
Simulation-to-real Unsupervised Domain Adaptation Gear Diagnostics Based on Entropy
Henrique Duarte Vieira de Sousa, Rui Zhu, Toby Verwimp, Alexandre Maurício, Hao Wen, Seyed Ali Hosseinli, Konstantinos Gryllias
The “Last Mile” of PHM: A Verifiable Claim Architecture for Deterministic Airworthiness Compliance Assessment
Simon Trussler, Ralph Poole, Ken Percell, Frank Zahiri
Toward Statistical Risk Analysis for Aerospace Systems with AI/ML Components
Yuning He, Konstantin Dmitriev
Uncertainty-Aware Model-Constrained Neural Digital Twins for Real-Time Forecast, Calibration, and Control of Aeroelastic Airfoils
William Cole Nockolds, Thomas A. Scott, Tan Bui-Thanh, Shatad Purohit, Sitaram Ramaswamy
Industry Experience Papers
A Functional Analysis Approach for Prototyping a Prognostic Model
Darin Dunlap, Jonathan Lawrence, Brandon Osborn, Taylor Spoo, Kyle Turner
Applied Structured Corrective Diagnosis of a Legacy Autonomous Mobile Robot:
Zen Hassoun, Hazem Eissa
Enhancing PHM Functionality by Using Data Sharing Standards
Ravi Rajamani, Leon Gommans
From Interoperability to Explainability: Semantic Data Models for XAI in Industrial Prognostics and Health Management
Anand Todkar, Mrinmoy Sarkar, Jitendra Solanki, Ziran Min
Data Challenge Papers
Condition Indicator-Based Gaussian Process Regressor With Automatically Labelled Images
Rik Vaerenberg, Rui Zhu, Henrique Duarte Vieira de Sousa, Toby Verwimp, Wenzhi Liao, Hao Wen, Evenela Maria Dima, Konstantinos Gryllias
Gear Damage Estimation Based on Impulse Accumulation Model and Feedback-Guided Domain Adaptation
Yoshiki Kato, Koji Wakimoto, Takahiko Masuzaki, Nobuaki Tanaka, Toshiyuki Kuriyama, Hanqi Su
Image-Based Damage Quantification and Vibration-Based Estimation of Gear Tooth Degradation
Paul Stuiver
Silence Is Not Safety: Minute-Level Forensics of Spur Gear Spall Progression from Low-Cost Condition Indicators
Sang Bong Song
Doctoral Symposium Summaries
Improved Acoustic Data Generation and Classification for Fault Detection in Prognostics and Health Management
Ruth A. Willet, Karl M. Reichard
Modal-Feature-Based Detection of Localized Structural Damage in Large Wind Turbine Blades
Samin Yaser Ahmed, D. Todd Griffith, Nathan L. Post, M. Mohamed Sajeer
Physics-Informed Machine Learning for Damage Localization and Progression in Composite Structures
Kevin Steiner, Olga Fink
Physics Informed Machine Learning Techniques for Condition Monitoring of Drivetrains
Evenela Maria Dima, Konstantinos Gryllias
Physics-informed Multi-fidelity Digital Twins for Prognostics and Health Management of Complex Engineering Systems
Yuan Jiang, Pingfeng Wang
Physics-informed Neural Networks for Acoustic Diagnostics and Prognostics of Complex System
Christian Fernandez Lopez, Bryan T. Adey, Manuel Arias Chao
Toward Foundation Models for Domain Transfer under Limited Target Data in Prognostics and Health Management
Hanqi Su, Jay Lee
- Vol 18, No 1 (2026)
- Vol 17, No 1 (2025)
- Vol 16, No 1 (2024)
- Vol 15, No 1 (2023)
- Vol 14, No 1 (2022)
- Vol 13, No 1 (2021)
- Vol 12, No 1 (2020)
- Vol 11, No 1 (2019)
- Vol 10, No 1 (2018)
- Vol 9, No 1 (2017)
- Vol 8, No 1 (2016)
- Vol 7, No 1 (2015)
- Vol 6, No 1 (2014)
- Vol 5, No 1 (2013)
- Vol 4, No 1 (2012)
- Vol 3, No 1 (2011)
- Vol 2, No 2 (2010)
- Vol 2, No 1 (2010)
- Vol 1, No 1 (2009)