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A Special Paper Collection from the Asia Pacific Conference of the Prognostics and Health Management (PHM) Society 2019 (PHMAP 2019)
Special Issue Information
Dear Colleagues,
Prognostics and health management (PHM) is considered an emerging engineering discipline that links studies of failure mechanisms to system lifecycle management. Many PHM applications can be found in but are not limited to manufacturing applications, heavy vehicle and mining application, power generation applications, aerospace and defense applications, automotive and electric vehicle applications, and railway applications. As a leading PHM conference in the Asia Pacific region, the Asia Pacific Conference of the PHM Society 2019 (PHMAP 2019) will be held in Beijing, China on July 23–25, 2019. Papers presented in PHMAP 2019 will include the following topics: the physics of failures and degradation; model-based prognostics; monitoring, diagnostic, and prognostic methods; advanced sensing technologies; data-driven prognostics; industrial big data analytics; condition-based maintenance; anomaly detection and process control; remaining useful life predictions; accelerated life and degradation tests; PHM standards, verifications, and validation; structural health management; PHM in smart manufacturing systems; PHM for electronics, components, and MEMS; PHM for automotive, marine, and heavy industry; PHM for energy and smart grid applications; PHM and reliability design for software; industrial Internet of Things and cloud computing for PHM; maintenance activities planning and scheduling optimization; hazard modeling and risk assessment. High-quality papers prsented in PHMAP 2019 will be selected to be included in this Special Issue.
Prof. David He
Prof. Xiaoyang Li
Prof. Renxiang Chen
Guest Editors
Manuscript Submission Information
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Keywords
- PHM
- physics of failures and degradation
- prognostics, diagnostics, and anomaly detection
- industrial big data analytics
- accelerated life and degradation tests
- condition-based maintenance
- structural health management
- industrial internet of things and cloud computing
- hazard modeling and risk assessment
- maintenance activities planning and scheduling optimization
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