Prognostics and Health Management (预测和健康管理)

Chaochao Chen
Dr. Chaochao Chen is a member of the research staff at the Center for Advanced Life Cycle Engineering (CALCE). His research areas include fault diagnosis and failure prognosis, focusing on data-driven approaches such as machine learning and statistical methods, prediction uncertainty management, prognostics and health management (PHM) software implementation, verification and validation, fault more


Prognostics and Health Management (PHM) is being widely applied in many industrial systems to ensure high system availability over their life cycle. This web seminar will present key steps of PHM: data processing, feature extraction, fault diagnostics, and failure prognostics. The fundamental algorithms, models and techniques for each step will be discussed. Time domain, frequency domain and time frequency data analysis are introduced, and the corresponding feature extraction technologies presented. Mode-based and data-driven-based approaches are described in fault diagnostics and failure prognostics.

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  • Robustness Thinking in Design for Reliability I (可靠性设计中建壮性的思考:系列一)
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