A Survey on Anomaly Detection, Life Prediction and Maintenance Decision for Industrial Processes
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摘要: 作为保障工业过程安全性、可靠性和经济 性的重要技术, 异常检测、寿命预测与维修决策在过去几十年得到了越来越广泛的关注和长足的发展. 本文结合异常检测、寿命预测与维修决策各研究环节之间的相互联系, 综述了异常检测、寿命预测与维修决策的联合研究现状,重点总结了异常检测与寿命预测、异常检测与维修决策、寿命预测与维修决策、维修决策与备件管理的联合研究动态. 最后, 探讨了该领域中存在的问题及未来的研究方向.Abstract: 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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Key words:
- Anomaly detection /
- life prediction /
- maintenance decision /
- integrated study
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