Prognostics and Health Management for Complex system Based on Fusion of Model-based approach and Data-driven approach

Prognostics and Health Management has been becoming an effective technology to increasing efficiency and reducing cost for complex system. As for the two major categories methods, both model-based approaches and datadriven approaches have merits and drawbacks. A kind of fusion approaches that integrate model-based approaches and data-driven approaches is presented in this paper and fusion structure is detailed to make full use of their advantages and overcome their limitations.