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: 2022-07-07

Technical Papers

Similarity-based Multi-source Transfer Learning Approach for Time Series Classification

Ayantha Senanayaka, Abdullah Al Mamun, Glenn Bond, Wenmeng Tian, Haifeng Wang, Sara Fuller, TC Falls, Shahram Rahimi, Linkan Bian
Abstract 293 | PDF Downloads 175

Automated Fault Tree Learning from Continuous-valued Sensor Data

Bart Verkuil, Carlos E. Budde, Doina Bucur
Abstract 246 | PDF Downloads 275

Anomaly Detection of Servomotors Subject to Highly Accelerated Limit Testing

Tadahiro SHIBUTANI, Shota Tsuboi, Michael Pecht
Abstract 143 | PDF Downloads 205

Model-based Fusion of Surface Electromyography with Kinematic and Kinetic Measurements for Monitoring of Muscle Fatigue

Haihua Ou, Deanna Gates, Shane Johnson, Dragan Djurdjanovic
Abstract 222 | PDF Downloads 311

Ensemble Deep Learning for Detecting Onset of Abnormal Operation in Industrial Multi-component Systems

Balaji Selvanathan, Sri Harsha Nistala, Venkataramana Runkana, Saurabh Jaywant Desai, Shashank Agarwal
Abstract 37 | PDF Downloads 67

A Methodology for Selection of Condition Monitoring Techniques for Rotating Machinery

Anuj Kumar Goel, Gurmeet Singh , Vallayil Narayana Achutha Naikan
Abstract 302 | PDF Downloads 292

Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry

Karl Löwenmark, Cees Taal, Stephan Schnabel, Marcus Liwicki, Fredrik Sandin
Abstract 98 | PDF Downloads 88

Towards Learning Causal Representations of Technical Word Embeddings for Smart Troubleshooting

Alexandre Trilla, Nenad Mijatovic, Xavier Vilasis-Cardona
Abstract 269 | PDF Downloads 308

Technical Briefs

Transformer Health Monitoring Using Dissolved Gas Analysis

Cody Walker, Ahmad Al Rashdan, Vivek Agarwal
Abstract 215 | PDF Downloads 307