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
A Hydraulic Actuator Condition Monitoring Dataset for Machine Learning
Stephen Adams, Floyd Steele, Nate Brown, Kevin Farinholt, Peter Beling, Sherwood Polter
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
Artificial Intelligence Technologies for Aircraft Maintenance
Dmitry Pavlyuk, Iyad Alomar
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
Fault-Tolerant Control for Four-Wheels Independently Actuated Electric Vehicles
Farah Shalhoub, Majd Saied, Clovis Francis, Hussein Termous, Hassan Shraim
Interpolative Bayesian Formulation to Improve Transfer Learning for Anomaly Detection in Rotating Machinery
Jia Liang, Rajesh Gupta, Huanyi Shui, Devesh Upadhyay, Eric Darve
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
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
Quasi-Instantaneous Battery End-of-Discharge Time Prognosis with Non-Stationary Autoregressive Exogenous Inputs
David Acuña-Ureta, Diego Fuentealba-Secul
Enhancing Wagon Fault Detection Using Acoustic Signals and Deep Transfer Learning
Jordana Reis, Rhuan Garcia, Flávio Varejão
From Corrective and Preventive Maintenance to Prognostics
Stamatis Apeiranthitis, Christos Drosos, Avraam Chatzopoulos, Michail Papoutsidakis, Evangelos Pallis
- 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)