Editorial for IJPHM Special Issue on PHM Asia Pacific Conference 2023
Prognostics and system health management (PHM) remain crucial for maintaining various industrial systems' reliability, safety, and efficiency. However, there remain gaps and challenges that need to be addressed. The special issue compiles 12 extended papers from the 2023 PHM Asia Pacific Conference, showcasing extensive research and a wide range of applications. It showcases research findings on autonomous system monitoring, fault detection, anomaly detection, and predictive maintenance. A common theme across the papers is the balance between computational efficiency, explainability, and real-world applicability. While the research presented here is highly innovative, it also highlights the need for PHM systems that are not only robust and scalable but also transparent and easily interpretable for end-users.
Authors
- Takehisa Yairi (ORCID: https://orcid.org/0000-0003-2408-028X)
- Samir Khan (ORCID: https://orcid.org/0000-0003-2930-4510)
- Seiji Tsutsumi
Institutions
- Japan Aerospace Exploration Agency (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- International Journal of Prognostics and Health Management
- Published
- 2024-10-08
- DOI
- https://doi.org/10.36001/ijphm.2024.v15i3.4206
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00