Recent Advances and Innovation in Prognostics and Health Management

Dear Colleagues,

Prognostics and Health Management (PHM) is a field that focuses on the degradation mechanisms of systems in order to estimate their health status, anticipate their failure and optimize their maintenance. PHM uses methods, tools and algorithms for monitoring, anomaly detection, cause diagnosis, prognosis of the remaining useful life (RUL) and maintenance optimization.

For the sake of high reliability, safety and supportability, modern equipment is usually equipped with PHM to realize reliable operation and health service. Hence, PHM has attracted a lot of attention and is a research focus in reliability engineering.

The purpose of this Special Issue is to show and share new ideas and achievements of PHM approaches, methods and related applications in engineering practices with relevant experts, scholars and engineers around the world. For this Special Issue, original research articles and reviews are welcome.

Topics and themes of this Special Issue may include but are not limited to:

• degradation and failure mechanism analysis;
• degradation modeling and related statistical methods;
• fault and RUL prognostics;
• maintenance strategy;
• fault diagnosis and fault-tolerant control;
• digital twins and machine learning techniques in PHM;
• reliability estimation and risk analysis;
• useful life evaluation.

Dr. Di Liu
Prof. Dr. Xingjian Wang
Dr. Cun Shi
Guest Editors

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