A Survey on Anomaly Detection, Life Prediction and Maintenance Decision for Industrial Processes

The past decades have witnessed an increasingly growing research interest and significant progress on various aspects of anomaly detection, life prediction, and maintenance decision. In this paper, according to the linkages among anomaly detection, life prediction, and maintenance decision, the state of the art of the integrated studies of anomaly detection, life prediction, and maintenance decision are reviewed and the potential issues needed to be solved are highlighted. Particularly, the emphasis is placed on the development of integrated anomaly detection and life prediction, integrated anomaly detection and maintenance decision, integrated life prediction and maintenance decision, and integrated maintenance decision and spare parts ordering. Finally, the unsolved problems and future research directions in the reviewed field are discussed.

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