Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale

doi:10.1016/j.cjche.2015.11.009

Chin.J.Chem.Eng. ›› 2015, Vol. 23 ›› Issue (12): 1987-1996.DOI: 10.1016/j.cjche.2015.11.009

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Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale

Huihui Gao^1,2, Yuan Xu^1,2, Xiangbai Gu^1,2,3, Xiaoyong Lin^1,2, Qunxiong Zhu^1,2

1 College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China;
2 Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing 100029, China;
3 Sinopec Engineering (Group) Co., LTD, Beijing 100101, China

Received:2015-05-19 Revised:2015-07-17 Online:2016-01-19 Published:2015-12-28
Contact: Yuan Xu, Qunxiong Zhu
Supported by:
Supported by the National Natural Science Foundation of China (61473026, 61104131) and the Fundamental Research Funds for the Central Universities (JD1413).

Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale

Huihui Gao^1,2, Yuan Xu^1,2, Xiangbai Gu^1,2,3, Xiaoyong Lin^1,2, Qunxiong Zhu^1,2

1 College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China;
2 Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing 100029, China;
3 Sinopec Engineering (Group) Co., LTD, Beijing 100101, China

通讯作者: Yuan Xu, Qunxiong Zhu
基金资助:
Supported by the National Natural Science Foundation of China (61473026, 61104131) and the Fundamental Research Funds for the Central Universities (JD1413).

Abstract

Abstract: Alarmflood is one of themain problems in the alarmsystems of industrial process. Alarmroot-cause analysis and alarmprioritization are good for alarmflood reduction. This paper proposes a systematic rationalization method for multivariate correlated alarms to realize the root cause analysis and alarm prioritization. An information fusion based interpretive structural model is constructed according to the data-driven partial correlation coefficient calculation and process knowledge modification. This hierarchical multi-layer model is helpful in abnormality propagation path identification and root-cause analysis. Revised Likert scale method is adopted to determine the alarmpriority and reduce the blindness of alarmhandling. As a case study, the Tennessee Eastman process is utilized to showthe effectiveness and validity of proposed approach. Alarmsystem performance comparison shows that our rationalization methodology can reduce the alarmflood to some extent and improve the performance.

Key words: Alarm rationalization, Root-cause analysis, Alarm priority, Interpretive structural modeling, Likert scale, Tennessee Eastman process

摘要： Alarmflood is one of themain problems in the alarmsystems of industrial process. Alarmroot-cause analysis and alarmprioritization are good for alarmflood reduction. This paper proposes a systematic rationalization method for multivariate correlated alarms to realize the root cause analysis and alarm prioritization. An information fusion based interpretive structural model is constructed according to the data-driven partial correlation coefficient calculation and process knowledge modification. This hierarchical multi-layer model is helpful in abnormality propagation path identification and root-cause analysis. Revised Likert scale method is adopted to determine the alarmpriority and reduce the blindness of alarmhandling. As a case study, the Tennessee Eastman process is utilized to showthe effectiveness and validity of proposed approach. Alarmsystem performance comparison shows that our rationalization methodology can reduce the alarmflood to some extent and improve the performance.

关键词: Alarm rationalization, Root-cause analysis, Alarm priority, Interpretive structural modeling, Likert scale, Tennessee Eastman process

Huihui Gao, Yuan Xu, Xiangbai Gu, Xiaoyong Lin, Qunxiong Zhu. Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale[J]. Chin.J.Chem.Eng., 2015, 23(12): 1987-1996.

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Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale

Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale

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