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: 2024-12-30
Technical Papers
Uncertainty Assessment Framework for IGBT Lifetime Models. A Case Study of Solder-Free Modules
Ander Zubizarreta, Markel Penalba, David Garrido, Unai Markina, Xabier Ibarrola, Jose Aizpurua
Adaptive Res-LSTM Attention-based Remaining Useful Lifetime Prognosis of Rolling Bearings
Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj
Robust Kalman Filter with Recursive Measurement Noise Covariance Estimation Against Measurement Faults
Chingiz Hajiyev
Pump Health Monitoring Test Environment for Diagnosing the Erosive Effects from Cavitation
Tedja Verhulst, David Judt, Craig Lawson, Osama Al-Tayawe, Geoff Ward, Yongmann Chung
Proficiency of Physics Informed Machine Learning in Multi-component Fault Recognition of Rotational Machines under Different Speed Conditions
S Sowmya, Harikrishnan Nair, M Saimurugan, Naveen Venkatesh
Diagnostics and Prognostics of Boilers in Power Plant Based on Data-Driven and Machine Learning
Achmad Widodo, Toni Prahasto, Mochamad Soleh, Herry Nugraha
Comparative Analysis of LSTM Variants for Fault Detection and Classification in Aircraft Control Surfaces
Muhammad Fajar, Teuku Mohd Ichwanul Hakim, Adi Wirawan, Prasetyo Ardi Probo Suseno, Arifin Rasyadi Soemaryanto, Ardanto Mohamad Pramutadi
Dynamic Relationship Between Oil Temperature and BGCI in Bell 407 Helicopter
lotfi Saidi, Eric Bechhofer, Mohamed Benbouzid
Adaptive Wavelet-Based Physics-Informed CNN for Bearing Fault Diagnosis
Reza Hassannejad, Mir Mohammad Ettefagh, Yousef Bahrami Mossayebi
Integrating Machine Learning-Based Remaining Useful Life Predictions with Cost-Optimal Block Replacement for Industrial Maintenance
YOUNGSUK CHOO, Seung-Jun Shin
A Comparative Study of Deep Learning Model Based Equipment Fault Diagnosis and Prognosis
Xianpeng Qiao, Hao Yuan Liow, Veronica Lestari Jauw, Chin Seong Lim
Liner Wear Prediction Using Bayesian Regression Models and Clustering
Jacob Van Den Broek, Melinda Hodkiewicz, Adriano Polpo
Technical Briefs
Efficiency Monitoring of a Cooling Water Pump based on Machine Learning Techniques
Marta Casero, Miguel A. Sanz-Bobi, F. Javier Bellido-López, Antonio Muñoz, Daniel Gonnzalez-Calvo, Tomas Alvarez-Tejedor
Breast Cancer Detection Analysis Using Different Machine Learning Techniques: South Iraq Case Study
Salma Abdulbaki Mahmood, Myssar Jabbar Hammood Al-Battbootti, Saad Shaheen Hamadi, Iuliana Marin, Costin-Anton Boiangiu, Nicolae Goga
- 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)