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: 2025-07-01
Technical Papers
Correlation-Enhanced Multi-Scale Residual Network for Bearing Fault Diagnosis in Noisy and Cross-Working Conditions
Panfeng Bao, Yue Zhu, Yufeng Shen, Jiashun Ou, Xuening Hu
Dynamical Variational Autoencoders for Estimating the Remaining Useful Life of Machinery
Marco Star, Kristoffer McKee
Advanced MRO Processes in Industry 4.0 with Proactive Asset Administration Shell and Digital Product Passport
Marco Weiss, Alexander Kamtsiuris, Florian Raddatz, Gerko Wende
Integrating Spatial and Temporal Features for Bearing Fault Diagnosis
Mert Sehri, Niousha Khalilian, Francisco de Assis Boldt, Michel Bouchard, Patrick Dumond
Exploring Proactive Maintenance through Fault Detection Techniques for Rotating Machinery
Ahiamadu Okirie, Ewomazino Kingsley Ejomarie
Spacecraft 3-axis Controlled Attitude Determination and Control System Reaction Wheels Fault Detection, Isolation and Identification using Machine Learning Techniques
T. S. Abdel Aziz, S Hussein, M. S. Mohamed, G. I. Salama
Trustworthy Autonomy through Ethics-Aware Integrity Monitoring
Samir Khan, Takehisa Yairi
Exploring Rolling Element Bearing Data Collection and Algorithm Hyperparameters for Machine Learning-Based Fault Diagnosis
Mert Sehri, Patrick Dumond
Fault-Type-Aware Remaining Useful Life Prediction of Aircraft Engines Using an Integrated Deep Learning Framework
Junwon Seo
Vibration-based Data-driven Fault Diagnosis of Rotating Machines Operating Under Varying Working Conditions
David Latil, Raymond Houé Ngouna, Kamal MEDJAHER, Stéphane LHUISSET
Bearing Remaining Useful Life Prediction based on TSDAE and Pathformer-TCLSTM
Guanghua Fu, Yujie Yang, Yonghui Liu, Xuegen Wang
Towards Reliable RUL Prediction
Oluwasegun Oluwole Gbore, Mehak Shafiq, Amit Kumar Jain, Don McGlinchey
Remaining Useful Life Prediction Using Attention-LSTM Neural Network of Aircraft Engines
Marouane Dida, Abdelhakim Cheriet, Mourad Belhadj
A Comparative Analysis of Anomaly Detection Techniques for Battery Telemetry Data in Low Earth Orbit Remote Sensing Satellites
Ahmed Adam, Ahmed Mokhtar, Ahmed Mattar, Mohamed Abdrahman, Sherif Helmy
Constraint-Guided Learning of Data-driven Health Indicator Models
Yonas Tefera, Quinten Van Baelen, Maarten Meire, Stijn Luca, Peter Karsmakers
Innovative Distributed Maintenance Concept
Maria Di Mascolo, ZINEB SIMEU ABAZI, Rony DJEUNANG
Analytical Health Indices: Towards Reliability-Informed Deep Learning for PHM
Dr.Pierre Dersin, Mr. Dario Goglio, Dr. Kristupas Bajarunas, Dr. Manuel Arias Chao
LSTM and Transformers based methods for Remaining Useful Life Prediction considering Censored Data
Jean-Pierre Noot, Mikaël Martin, Etienne Birmele
- 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)