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
Editors:
Chetan S. Kulkarni,
Marcos E. Orchard
Published: 2025-10-26
Technical Research Papers
Integration of LLMs for Multitasking Workload Prediction in Mixed Reality Environments
Safanah Abbas, Heejin Jeong, David He
Mission Profile Clustering for Usage-Based Health Modeling of Flight Control Actuators Applied to a Fleet of Advanced Jet Trainers
Leonardo Baldo, Andrea De Martin, Mathieu Terner, Giovanni Jacazio, Marcos E. Orchard, Massimo Sorli
Event-Based Data in Prognostics and Health Management
Thi-Tinh Le, Phuc Do, Benoit Iung, Marcos E. Orchard
Gear Teeth Parameter Identification in Helicopter Planetary Gearbox Using Tachometer and Vibration Signals
Changik Cho, Eric Bechhoefer
Robust health indicator extraction and RUL prediction for PEMFCs under highly dynamic industrial conditions
Soufian Echabarri, Phuc Do, Hai-Canh Vu, Pierre-Yves Liegeois
Evaluating Large Language Models for Turboshaft Engine Torque Prediction
Alessandro Tronconi, David He, Eric Bechhoefer
Prognostics of Rolling Element Bearings based on Cyclostationarity-based Indicators and Kalman filter under Varying Load and Speed
Zhen Li, Panagiotis Mantas, Toby Verwimp, Alexandre Mauricio, Konstantinos Gryllias
Fault Identification Using System-Level Insights and Multi-Layered Classification
Ryan Aalund, Meenu Rajapandian, Vincent Paglioni
Impact of Environmental Temperature Variation on Vibration- Based Fault Detection for Air Compressors
Sherwood Polter, Colin Dingley, Neil Eklund, Adam Wechsler
A Contrastive Learning Approach for Anomaly Detection in Multi-View Scenarios
Paula Mielgo, Anibal Bregon, Carlos J. Alonso-Gonzalez, Miguel A. Martinez-Prieto, Belarmino Pulido
Exploring LLM-based Agentic Frameworks for Fault Diagnosis
Xian Yeow Lee, Lasitha Vidyaratne, Ahmed Farahat, Chetan Gupta
Detectability of Damages in Carbon Fiber Reinforced Plastics using Acoustic Emission
Jonathan Liebeton, Dirk Soffker
Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, David Pardo, Jose Aizpurua
Partial Domain Adaptation for Intelligent Machinery Fault Diagnosis
Hanqi Su, Dai-Yan Ji, Shinya Tsuruta, Daichi Arimizu, Yuto Hachiya, Koji Wakimoto, Jay Lee
Real-time Thermal Runaway Prognosis of a Lithium-ion Battery via Physics-informed Latent Ensemble DeepONet with Segmented Data
Jinho Jeong, Eunji Kwak, Jun-Hyeong Kim, Ki-Yong Oh
Bearing Spall Size Estimation Under Varying Speed Conditions
Cees Taal, Dang Ngo-The, Jérome Antoni
A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection
Ethan Herron, Xian Yeow Lee, Gregory Sin, Teresa Gonzalez Diaz, Ahmed Farahat, Chetan Gupta
A Dual-Contrastive-Attention Transformer for Unsupervised Anomaly Detection in Lamb Waves Structural Health Monitoring
Jiawei Guo, Boshi Chen, Sen Zhang, Nikta Amiri, Ge Song, Lingyu Yu, Yi Wang
LLMs as Pre-trained Models for Time-Series Applications in PHM
Takanobu Minami, Dai-Yan Ji, Lee Jay
A Novel Methodology for Vision Backbone Network Fine-Tuning and Continual Learning in Optical Inspection Tasks
Kody Haubeil, Tarek Yahia, Alex Suer, David Siegel, Donald Davis, Xiaodong Jia
A Lithium-Ion Battery Degradation Model Agnostic to Cell Chemistry with Integrated State-of-Charge and Temperature Dependence
Bruno Masserano, Jorge E. Garcia Bustos, Camilo Ramirez, Benjamin Brito Schiele, Cristobal E. Allendes, Ricardo Salas-Espineira, Sofia Mancilla, Jose Luis Espinoza, Aramis Perez, Francisco Jaramillo-Montoya, Marcos E. Orchard
A Novel 3D Sensing Framework for Safety Monitoring in Human-Robot Collaboration Work Cells
Tarek Yahia, Kody Haubeil, Alex Suer, Yongzhi Qu, Janet Dong, Xiaodong Jia
EV-sim
Jorge E. Garcia Bustos, Benjamin Brito Schiele, Bruno Masserano, Cristobal E. Allendes, Ricardo Salas-Espineira, Fernando Oropeza Suarez, Catalina Platz-Gamboa, Lukas Gleisner J., Diego Troncoso-Kurtovic , Francisco Jaramillo-Montoya, Heraldo Rozas, Marcos E. Orchard
MAINTAG - Multi-Agent-based Predictive Maintenance Dataset Tagging System
Oguz Bektash, Dorian JOUBAUD, Chetan. S. Kulkarni, Sylvain KUBLER
Characterizing Surface-damage Progression of Spur Gears with Vibration and Oil Data
Mark Walluk, John Tucker, Adrian Hood, Patrick Horney, Allen Jones, Wiley Matthews, Nenad Nenadic
Rethinking RUL Prediction
Mariana Salinas-Camus, Kai Goebel, Nick Eleftheroglou
Health Monitoring and Drift Detection of Bearing Using Direct Density Ratio Estimation
Sanjoy Saha, M.M. Manjurul Islam, Shaun McFadden, Mark Gorman, Saugat Bhattacharyya, Girijesh Prasad
Postprocessing of Autoencoder Reconstruction Error for Detection and Diagnostics of Faults in Infrequently-driven Ground Vehicles
Matthew Moon, Ethan Kohrt, Michael Thurston, Nenad Nenadic
Data-Efficient and Uncertainty-Aware RUL Prediction Using Physics-Informed Neural Networks
Jinhong Bang, Minhyeok Choi, Hyeonseung Lee, Sangjun Jeong, Jaehyun Yoon, Jaehyeok Doh
Industry Experience Papers
Semantic Framework for IT-OT Integration in Industrial Environments
Anand Todkar, Dr Mrinmoy Sarkar, Jitendra Solanki
An Evaluation Framework for Fault Diagnosis Using Technical Manuals in Retrieval-Augmented Large Language Models
Sarah Lukens, Matthew Bishof, Nadir Siddiqui, Destiny West
The Impact of Sensor Faults on Condition Monitoring of a Hydraulic Actuator
Stephen Adams, Dan DeCollo, Floyd Steele, Nate Brown, Sherwood Polter, Peter A. Beling
Study on Optimal Design and PHM Methods for New Electrification Systems
Hong Suk Chang
Deep Reinforcement Learning for Airplane Components Failure Prognostics Full Cycle Automation
Baoqian Wang, Changzhou Wang, Denis Osipychev
IntelliMaint
Ramesh Krishnamurthy, Shweta S, Rachana Sreedhar, Archana Chandrashekar
Potential of Generative AI in Knowledge-Based Predictive Maintenance for Aircraft Engines
Meriem Hafsi
Digital Twin-based IVHM for Predictive Maintenance
Salvatore Norcaro, Roberta Cumbo, Leonardo Mangeruca, Luigi Di Guglielmo, Alessandro Ulisse
Development of a Scalable Digital Twin for Tram and Light-rail Infrastructure based on Open Data for Early Prediction of Rail and Track Defects
Jannik Goersch, Philipp Leibner, Benedikt Neubauer, Thomas Hempel, Raphael Pfaff
Maintenance, Engineering, and Operational Decision-Making Metrics Derived from Simple Maintenance and Aircraft Datasets
Paul Bordush
CBM/PBM Operational Performance
Franck Dessertenne
Real-Time Fatigue Risk Assessment of BHA Connectors Using Combined Physics and Data-Driven Approach
Dmitry Belov, Yaou Wang, Wei Chen, Jennifer Gilliam
Lifecycle and best practices for predictive maintenance alert lifecycle management.
Justin Sindewald, Ryan Latini, Joseph Rice
Guidance for the Certification and Continued Airworthiness of PHM System for Aviation
Ravi Rajamani
Enhancing Nuclear Safeguards with Time Series Sketching-Based Nuclear Material Loss Tracking
Hao Huang, Scott Evans, Philip Honnold, Nathan Shoman
Achieving Three Nines for Product Health Data Monitoring Systems
Raghothama M. Rao, Travis Mann, Bill Edinger
Data Challenge Papers
A Two-Stage Framework for Small-Sample RUL Prediction on Structurally Complex Time-Series Data
Peng Gao, Fanyu Qi, Yizhang Zhu, Jianyu Zhang, Wenfei Li, Jianshe Feng
Extended abstract: Remaining Cycle Estimation based on a Maintenance Cycle Model
Kirin Inoue, Koji Wakimoto, Kosei Ozeki, Toshiyuki Kuriyama, Takahiko Masuzaki
Maintenance Service Events Prediction Modeling of Aircraft Gas Turbine Engines
Peeyush Pankaj, Shyam Joshi, Xiaomeng Peng, Reece Teramoto, Taylor Hearn
Estimating Cycles to Maintenance Events For Jet Engines Using Engine-specific Measurement Residual
Peihua Han, Qin Liang
Doctoral Symposium Summaries
Atomic Whispers to System Health Diagnosis and Prognosis: First-Principles-Based Degradation Modeling of 2D Materials in Next-Generation Bioelectronics
Yi Cao, Paulette Clancy
Novel Segmentation Methodology for Robust Feature Engineering of Time Series Data in Prognostics and Health Management
Dai-Yan Ji, Jay Lee
Gear Diagnostics Based On Transfer Learning Methodologies and Digital Twinning
Henrique Duarte Vieira de Sousa, Konstantinos Gryllias
A Method for Self-Healing System Integration within Human Habitation Systems
Marc Koerschner, Michael Balchanos, Dimitri Mavris
PhD Symposium Stochastic_Optimisation_of_Tail_Assignment_and_Maintenance_Task_Scheduling_with_health_aware_models
Benno Kaslin, Marta Ribeiro, Dimitrios Zarouchas, Manuel Arias Chao
PhD Symposium - Interpretable and Uncertainty-Aware Hybrid Prognostics Using Multimodal Knowledge for RUL Prediction
Dario Goglio, Dimitrios Zarouchas, Manuel Arias Chao
Deep Learning Based Remaining Useful Life Prediction of Lithium-Ion Batteries Using Early Cycle Degradation Features
Kyutae Park, Heung Soo Kim
A Single Carbon Nanotube-paper Composite Electrode Sensor Based Brake Oil Degradation Detection
Yubin Cheon, Changwoo Lee, Jae-Hyun Chung, Heung Soo Kim
Integrating Few-Shot Learning and Pre-trained Models into Similarity-Based PHM using Small Data in Complex Engineering Systems
Takanobu Minami, Jay Lee
Neural Counterfactual Reasoning for Interacting Systems: Bridging Physics-Informed Learning and Reasoning for PHM
Amaury Wei, Olga Fink
A Health Monitoring Framework for Thermal Degradation Mitigation in Solar Power Plants
Nadia N. Sanchez-Pozo, Jon Olaizola, Erik Vanem, Jose I. Aizpurua
Deep Learning for Robust Manufacturing: From Quality Control to Predictive Maintenance
Paula Mielgo, Anibal Bregon, Miguel A. Martinez-Prieto
Poster Presentations
Large Language Model Accelerated Maintenance Insights
Noah Getz, Xiaorui Tong
Robust Fault Detection with One-Class Training
Ark Ifeanyi, Jamie Coble
Remaining Useful Life Prediction via Computation of Physical and Material Properties
Navid Zaman, Milo Cooper, Frank M. Juarez
Bearings Fault Detection via Physics-Informed Convolutional Neural Networks
Lucas Souza, Leonardo Raupp, Caio Souto Maior Maior, Isis Lins, Thiago Cavalcanti, Marcio Moura
A Physics-informed Multi-fidelity Neural Network Framework for Virtual Sensing in Rotating Machinery
Seho Son, Dayeon Jeong, Kyung Ho Sun, Ki-Yong Oh
Causal-Aware LLM Agents for PHM Co-pilots
Rajarajan Kirubanandan
An Autonomous Multimodal System for Intelligent Railway Inspection
Boshi Chen, Jiawei Guo, Qian Zhang, Yi Wang
Autonomous Inspection Strategy for Insulator Strings Using a Drone
Munsu Jeon, Junhyeok Moon, Junsoo Kim, Ki-Yong Oh
Minimizing Unplanned Downtime in Rotary Vacuum Drum Filters for Iron Ore Mining through Image-based Analysis
Sameer Prabhu, Naveen Venkatesh, Amit Patwardhan, Ramin Karim
- 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)