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)