WORKING CONDITION STATE MODELING AND MODEL CORRECTING METHOD
Shang WL(尚文利); Zeng P(曾鹏); Liu XD(刘贤达); Zhao JM(赵剑明); Yin L(尹隆); Chen CY(陈春雨); Ao JS(敖建松); Tong GY(佟国毓)
2021-03-04
著作权人SHENYANG INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
国家美国
文献子类发明
产权排序1
其他题名一种工况状态建模与修正模型方法
英文摘要The present invention relates to a working condition state modeling and model correcting method, comprising collecting data, and arranging the data in a chronological order to form a time sequence data set; preprocessing the time sequence data set; clustering the preprocessed time sequence data set, computing a central point data set of the duster, and generating a working condition data set and a working condition process data set; counting a working condition transition probability for the working condition process data set to form a working condition transition probability model data set; collecting the data, and detecting and processing the data; computing a working condition state transition mode phase by phase and processing. The present invention is based on a counting modeling method, introduces expert prior knowledge to correct the established model gradually, enables the model range to cover the overall system working condition state and solves the problem of low coverage rage in the mechanism analysis modeling methods and the counting modeling method, The present invention can be used as the input of an abnormal working condition diagnosis method, and can effectively improve the accuracy rate of abnormality diagnosis.
申请日期2019-02-21
语种英语
状态公开
内容类型专利
源URL[http://ir.sia.cn/handle/173321/28688]  
专题沈阳自动化研究所_工业控制网络与系统研究室
作者单位SHENYANG INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
推荐引用方式
GB/T 7714
Shang WL,Zeng P,Liu XD,et al. WORKING CONDITION STATE MODELING AND MODEL CORRECTING METHOD. 2021-03-04.
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