About the Journal
The flagship publication of the PHM Society is the open online journal entitled the International Journal of Prognostics and Health Management (IJPHM). The Journal has established a fast paced, yet rigorous peer-review policy. The Journal intends to publish original papers within 8-12 weeks of initial submission, much faster than what is possible with traditional print media.
Current Issue
Published: 2025-12-28
Technical Papers
Quasi-Instantaneous Battery End-of-Discharge Time Prognosis with Non-Stationary Autoregressive Exogenous Inputs
David Acuña-Ureta, Diego Fuentealba-Secul
ISA-PHM – a Standardized Format for Storing and Utilizing Meta-data of Diagnostic and Prognostic Tests
Tiedo Tinga, Luc S. Keizers, Wouter van Riel, Nathan M. Houwaart, Jurjen R. Helmus
A Compact CNN-Transformer Model for Robust Fault Diagnosis in Large-Scale Chemical Processes
Pratyush Kumar Pal, Sumona Ray, Narottam Behera, Somnath Chowdhury, Abhiram Hens, Sandip Kumar Lahiri
Turbofan Engine Remaining Useful Life Prediction based on Physics-aware Hybrid Framework and Fatigue Cycles
Slawomir Szrama
State of Health Estimation of Batteries Using a Time-Informed Dynamic Sequence-Inverted Transformer
Janak Patel, Milad Ramezankhani, Anirudh Deodhar, Dagnachew Birru
Remaining Useful Life Estimation for Aircraft Engines with Risk-Aware Prediction Intervals via Conformalized Quantile Regression
Colby Robinson
Decoding Breast Cancer Mutational Signatures
Omji Porwal, Kamal Upreti, Pravin R. Kshirsagar, Sarika Panwar, Anurag Sharma, Ganesh V. Radhakrishnan, Rituraj Jain
From Corrective and Preventive Maintenance to Prognostics
Stamatis Apeiranthitis, Christos Drosos, Avraam Chatzopoulos, Michail Papoutsidakis, Evangelos Pallis
Enhancing Wagon Fault Detection Using Acoustic Signals and Deep Transfer Learning
Jordana Reis, Rhuan Garcia, Flávio Varejão
A Hydraulic Actuator Condition Monitoring Dataset for Machine Learning
Stephen Adams, Floyd Steele, Nate Brown, Kevin Farinholt, Peter Beling, Sherwood Polter
SHAP-Based Feature Selection with a Hybrid Convolutional and Recurrent Deep Learning Framework for Remaining Useful Life Prediction of Aero-Engines
Naouel Ouafek, Tarek Berghout, Samira Abderrezek, Abdelhabib Bourouis
Robust Baselines and Probability Calibration for TPM-Oriented Predictive Maintenance
José Roberto Dale Luche, Blaha Gregory Correia dos Santos Goussain, Claudia Regina de Freitas
RUL Estimation of Rolling Element Bearings Using a Hybrid Wavelet Packet Decomposition–Recursive Feature Elimination–Adaptive Neuro Fuzzy Inference System Framework
Abdel Wahhab Lourari, Tarak Benhedjouh
Interpolative Bayesian Formulation to Improve Transfer Learning for Anomaly Detection in Rotating Machinery
Jia Liang, Rajesh Gupta, Huanyi Shui, Devesh Upadhyay, Eric Darve
Fault-Tolerant Control for Four-Wheels Independently Actuated Electric Vehicles
Farah Shalhoub, Majd Saied, Clovis Francis, Hussein Termous, Hassan Shraim
A Low-Cost, Scalable Approach for Compressor Fault Monitoring Using Deep Learning on Acoustic Signals
Sumana Roy, Pratyush Kumar Pal, Narottam Behera, Sandip Kumar Lahiri
Artificial Intelligence Technologies for Aircraft Maintenance
Dmitry Pavlyuk, Iyad Alomar
A Novel Taxonomy and Approaches for the Identification of Frequently Occurring Regularities in Degradation Processes of Engineering Systems
Fabian Mauthe, Christopher Braun, Julian Raible, Peter Zeiler, Marco F. Huber
- Vol 17, No 1 (2026)
- Vol 16, No 4 (2025)
- Vol 16, No 3 (2025)
- Vol 16, No 2 (2025)
- Vol 16, No 1 (2025)
- Vol 15, No 3 (2024)
- Vol 15, No 2 (2024)
- Vol 15, No 1 (2024)
- Vol 14, No 3 (2023)
- Vol 14, No 2 (2023)
- Vol 14, No 1 (2023)
- Vol 13, No 2 (2022)
- Vol 13, No 1 (2022)
- Vol 12, No 4 (2021)
- Vol 12, No 3 (2021)
- Vol 12, No 2 (2021)
- Vol 12, No 1 (2021)
- Vol 11, No 2 (2020)
- Vol 11, No 1 (2020)
- Vol 10, No 4 (2019)
- Vol 10, No 3 (2019)
- Vol 10, No 2 (2019)
- Vol 10, No 1 (2019)
- Vol 9, No 3 (2018)
- Vol 9, No 2 (2018)
- Vol 9, No 1 (2018)
- Vol 8, No 3 (2017)
- Vol 8, No 2 (2017)
- Vol 8, No 1 (2017)
- Vol 7, No 4 (2016)
- Vol 7, No 3 (2016)
- Vol 7, No 2 (2016)
- Vol 7, No 1 (2016)
- Vol 6, No 4 (2015)
- Vol 6, No 3 (2015)
- Vol 6, No 2 (2015)
- Vol 6, No 1 (2015)
- Vol 5, No 2 (2014)
- Vol 5, No 1 (2014)
- Vol 4, No 3 (2013)
- Vol 4, No 2 (2013)
- Vol 4, No 1 (2013)
- Vol 3, No 2 (2012)
- Vol 3, No 1 (2012)
- Vol 2, No 2 (2011)
- Vol 2, No 1 (2011)
- Vol 1, No 1 (2010)