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Outlier detection for process control data based on a non-linear Auto-Regression Hidden Markov Model method
Liu, Fang; Mao, Zhizhong; Su WX(苏卫星)
作者部门信息服务与智能控制技术研究室
关键词Auto-regression Hidden Markov Model Industrial Process Control Outlier Detection Radial Basis Function Network Time Series
发表期刊TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
ISSN0142-3312
2012
卷号34期号:5页码:527-538
收录类别SCI ; EI
EI收录号20122415107343
WOS记录号WOS:000304884400003
产权排序2
资助机构Gratitude is extended to the National High-Tech R&D Program of China, under Grant No. 2007AA04Z194 and No. 2007AA041401.
摘要This paper focuses on the issue of outlier detection for time series in the process industry. Considering the characteristics of time series in process control systems, such as high non-linearity, strong noise and the special relationship between the input and output of the controlled object, a new outlier detection algorithm is proposed. The algorithm adopts an improved Radial Basis Function Network to construct the model of the controlled object and an Auto-Regression Hidden Markov Model to detect outliers. Unlike many conventional outlier detection methods, this algorithm does not need any prior data and can detect outliers accurately without preselecting the threshold. The proposed detection algorithm is validated by the application to the electrode regulator system of an arc furnace and comparison with Takeuchi's auto-regressive model detection approach.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Automation & Control Systems ; Instruments & Instrumentation
关键词[WOS]NOVELTY DETECTION ; RBF NETWORKS ; TIME-SERIES ; SELECTION
WOS研究方向Automation & Control Systems ; Instruments & Instrumentation
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/9970
专题信息服务与智能控制技术研究室
通讯作者Liu, Fang
作者单位1.Northeastern University, School of Information Science and Engineering, Shenyang, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Liu, Fang,Mao, Zhizhong,Su WX. Outlier detection for process control data based on a non-linear Auto-Regression Hidden Markov Model method[J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL,2012,34(5):527-538.
APA Liu, Fang,Mao, Zhizhong,&Su WX.(2012).Outlier detection for process control data based on a non-linear Auto-Regression Hidden Markov Model method.TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL,34(5),527-538.
MLA Liu, Fang,et al."Outlier detection for process control data based on a non-linear Auto-Regression Hidden Markov Model method".TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 34.5(2012):527-538.
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