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.

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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
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article

Editorial for IJPHM Special Issue on PHM Asia Pacific Conference 2023

Takehisa Yairi, Samir Khan, Seiji Tsutsumi
International Journal of Prognostics and Health Management
Fault Detection and Control Systems
article

Editorial for IJPHM Special Issue on PHM Asia Pacific Conference 2023

Takehisa Yairi, Samir Khan, Seiji Tsutsumi
article en

Abstract

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.

International Journal of Prognostics and Health ManagementVol. 15(3)
Japan Aerospace Exploration Agency (JP), The University of Tokyo (JP)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Fault Detection and Control Systems
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Editorial for IJPHM Special Issue on PHM Asia Pacific Conference 2023 — Takehisa Yairi, Samir Khan, et al. · International Journal of Prognostics and Health Management (2024) | TGRS Research Map | TGRS