Health evaluation techniques towards rotating machinery: A systematic literature review and implementation guideline

Abstract

Rotating machinery plays a significant role in fields of manufacturing, energy, aerospace, and so on. Due to harsh environment and heavy load, the rotating machinery are prone to damage during operation process. Thus, health evaluation is critical for the rotating machinery to improve production efficiency, minimize facility downtime, and ensure working safety. At present, the operation and maintenance of the rotating machinery mainly depend on human resources, expert experience, and intelligent algorithm. To our knowledge, few review articles provide a hierarchical guideline about how to select appropriate health evaluation techniques (HETs) for users according to the usage requirement and data availability. To address this issue, this paper systematically reviews the development and application of the HETs adopted in rotating machinery, which are divided into three types: model-based, knowledge-based, and data-driven HETs. Then, the strong and weak points of different HETs are analyzed so as to provide the implementation guideline for selecting the appropriate HETs. Further, current challenges and perspectives are discussed to spark future research of intelligent HETs.