JESTIE Special Section on “Trustworthy Fault Diagnosis and Health Management for Industrial Electronics Systems”
Organized by: Dr. Mingyi Huo, Prof. Mehmet Önder Efe, Prof. Shen Yin
Industrial electronics systems play a critical role in modern industry, supporting applications such as industrial automation, energy conversion, electrified transportation, and smart manufacturing. With the rapid integration of advanced sensing technologies, the industrial Internet of Things, and cyber physical systems, large volumes of operational data are now available from industrial electronics platforms. These developments create new opportunities for improving system reliability through data driven fault diagnosis and health management. At the same time, industrial electronics systems are becoming increasingly complex and are often required to operate under harsh and time varying conditions. Faults in these systems may lead to safety risks, costly downtime, and reduced operational efficiency. Reliable and interpretable diagnostic technologies are therefore essential for monitoring system health and supporting operational decisions in practical industrial environments. Recent advances in data driven techniques have shown strong potential for identifying fault patterns and extracting useful information from large scale industrial data. However, the deployment of these methods in real industrial electronics systems remains challenging. Limited fault data, changing operating conditions, and strict requirements on reliability and real time implementation make it difficult to translate many existing approaches from laboratory studies to practical applications. As a result, there is a clear need for trustworthy diagnostic technologies that can operate reliably in real industrial electronics environments and support practical deployment.
This Special Section aims to present recent advances in trustworthy fault diagnosis and health management technologies specifically tailored for industrial electronics systems, addressing reliability, safety, and deployment challenges that are not sufficiently covered in the existing literature. Emphasis will be placed on practical industrial applications, experimentally validated diagnostic solutions, and technologies that enhance the reliability and resilience of industrial electronics platforms. Based on the active research community in this area and the Guest Editors’ professional networks, the Special Section is expected to attract approximately 20 to 25 submissions, from which 8 to 10 high quality papers may be selected after peer review.
This special session invites original manuscripts presenting recent advances in these fields with special reference to the following topics.
- Trustworthy fault diagnosis methods for industrial electronics systems
- Fault diagnosis and health monitoring of electric machines, drive systems, and power electronic converters
- Data-driven diagnostics for electrified transportation and industrial automation systems
- Robust diagnostic methods under varying operating conditions
- Hybrid physics-based and data driven diagnostic approaches
- Data-driven health management and predictive maintenance for industrial systems
- Industrial case studies and experimentally validated industrial electronics systems