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: 2024-01-16
Technical Papers
A Multi-Output Deep Learning Model for Fault Diagnosis Based on Time-Series Data
Ahmed Al-Ajeli, Eman S. Alshamery
A Data-Driven Methodology to Assess Raw Materials Impact on Manufacturing Systems Breakdowns
Maha Ben Ayed, Moncef Soualhi, Raouf Ketata, Nicolas Mairot, Sylvian Giampiccolo, Noureddine Zerhouni
A Deep Learning Approach to Within-Bank Fault Detection and Diagnostics of Fine Motion Control Rod Drives
Ark Oluwatobi Ifeanyi, Jamie B. Coble, Abhinav Saxena
Prognostics Aware Control Design for Extended Remaining Useful Life
Dr. Julien Thuillier, Mayank Shekhar Jha, Sebastien Le Martelot, Dr. Didier Theilliol
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber
Post-clustering Prioritization Framework for Autonomous Decision Making in the Absence of Ground Truth via Hypothetical Probing
Wolfgang Fink, Karm Al Hajhog
Combining Wavelets and AR Identification for Condition Monitoring of Electric-cam Mechanisms Using PLCopen Readings of Motor Torque
Roberto Diversi, Nicolò Speciale, Matteo Barbieri
Bearing Fault Diagnosis under Varying Work Conditions Based on Synchrosqueezing Transform, Random Projection, and Convolutional Neural Networks
Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj
An ANFIS-based Framework for the Prediction of Bearing’s Remaining Useful Life
Abdel wahhab Lourari, Tarak Benkedjouh, Bilal El Yousfi, Abdenour Soualhi
Chatter Identification in Milling of Titanium Alloy Using Machine Learning Approaches with Non-Linear Features of Cutting Force and Vibration Signatures
Viswajith S Nair, Rameshkumar K, Saravanamurugan S
An Improved Fault Detection Method based on HSMM
Lestari Handayani, VRIGNAT VRIGNAT, Frédéric Kratz
- 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)