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Alternative TitleFault monitoring method based on hierarchical density peak clustering and most similar mode
李帅; 周晓锋; 史海波; 潘福成; 李歆; 张宜驰
Rights Holder中国科学院沈阳自动化研究所
Patent Agent21002 沈阳科苑专利商标代理有限公司
Other AbstractThe invention relates to a fault monitoring method based on hierarchical density peak clustering and the most similar mode. The historical normal data of an industrial process are modally divided to acquire hierarchical modal information. The hierarchical modal information is used to establish a fault monitoring model for the historical normal data of the industrial process. The most similar modeof the industrial process data to be monitored is acquired and input into the fault monitoring model for fault monitoring. According to the invention, existing industrial data resources are used; multimodality and multimodal dynamics and uncertainty of a complex industrial process are considered; the limitations of relying on priori modal information and using fixed modal dividing and models of the existing multimodal fault monitoring method are overcome; and the method is important for timely detecting abnormal conditions in the industrial process, ensuring production safety and improving product quality.
PCT Attributes
Application Date2017-12-18
Date Available2020-08-07
Application NumberCN201711365157.4
Open (Notice) NumberCN109933040B
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
李帅,周晓锋,史海波,等. 基于层次密度峰值聚类和最相似模态的故障监测方法[P]. 2019-06-25.
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