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: 2026-07-05
Technical Papers
A Hybrid Particle Filter-Weibull Approach for Probabilistic End-of-life Prediction of Industrial Machines Using Vibration Data
Nagesh Dewangan, Amiya Ranjan Mohanty
Bayesian CNN-LSTM for Battery State of Health (SoH) Estimation under Randomized Usage Conditions
Saurabh Jaywant Desai, Muralikrishan Ramanujam, Venkataramana Runkana
Regularization of Divergent Series via Classical Summability Methods with Applications to Reliability and Engineering Systems
Suresh Kumar Sahani, Kameshwar Sahani, Aashiq Mahato, Rishav Jha
An Enhanced Lightweight Multi-scale CNN with Resonance-dominant Frequency-band Learning for Robust Bearing Fault Diagnosis
Thanh Tung Luu, Duy An Huynh, Thanh Hai Nguyen
Physics-Informed Multi-Scale Network with Loss-Guided Curriculum Learning for Robust Fault Diagnosis
Panfeng Bao, Wenjun Yi, Yue Zhu, Yufeng Shen, Haotian Peng
Data-Driven Fault Diagnosis of Rolling Bearings Using Neural Networks Optimized via Bayesian, Particle Swarm, and Genetic Algorithm Methods with Time–Frequency Features
Khoualdia Kaaïs, Khoualdia Tarek, Mourad Nahal
Remaining Useful Life Prediction across Datasets via Semi-Supervised Domain Adaptation
Gengyu Li, Takehisa Yairi
Estimating Sufficient Amount of Training Data for Data-Driven Fault Diagnosis
Moritz Neu, Marcel Braig, Fabian Mauthe, Peter Zeiler
Multiscale Ordinal Complexity Analysis for Wind Turbine Bearing Fault Diagnosis
Paulo R. L. Almeida, Thyago L. V. Lima, Alisson V. Brito, Abel C. Lima Filho
Dual-Channel Acoustic Temporal–Spectral Representation and Noise-Perturbation Learning for Mining Conveyor Fault Diagnosis
Zhenyu Wang, Taixiang Li
Channel-Attentive Temporal Convolutional Networks (CA-TCN) for Interpretable Fault Diagnosis in the Tennessee Eastman Process
Pratyush Kumar Pal, Sumona Ray, Narottam Behera, Somnath Chowdhury, Abhiram Hens, Sandip Kumar Lahiri
Monotonic Latent Manifold Bayesian Inference for Robust Industrial Predictive Maintenance
Oyetayo Oyebisi
Simulation-Based Fault Detection and Diagnosis for Electric Servomotor Control Rod Drives in BWRX-300
Tran C.H. Nguyen, Ark Ifeanyi, Daniel Dos Santos, Nicholas Fullilove, Abhinav Saxena, Jamie Coble
Development of an Integrated Digital Twin Framework for Online Monitoring and Anomaly Detection
Lauren Bailey, Jamie Coble, Xingang Zhao
A Systematic Review of AI-Based PHM Frameworks for Ship Systems and Equipment
Luis Fernando Mendoza Cardona, Joan Suarez, Edwin Puertas, Edwin Paipa-Sanabria, Juan C Martinez-Santos
- Vol 17, No 2 (2026)
- 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)