WORKING CONDITION STATE MODELING AND MODEL CORRECTION 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)
2020-06-25
著作权人SHENYANG INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
国家世界专利组织
文献子类发明
产权排序1
英文摘要Disclosed is a working condition state modeling and model correction method, comprising: collecting data, and arranging the data according to a time sequence to form a time series data set; preprocessing the time series data set; clustering the preprocessed time series data set, and calculating a central point data set of the clustering to generate a working condition data set and a working condition process data set; performing statistics on a working condition transition probability with regard to the working condition process data set to form a working condition transition probability model data set; collecting data, and detecting and processing the data; and calculating a working condition state transition mode segment by segment and processing same. On the basis of a statistics based modeling method, by introducing a priori knowledge of experts, an established model is corrected step by step, such that the scope of the model covers the entire system working condition state, the pr...(前1000字)
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/173321/27401]  
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 CORRECTION METHOD. 2020-06-25.
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