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

Huihui Gao; Yuan Xu; Xiangbai Gu; Xiaoyong Lin; Qunxiong Zhu

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

第25届中国过程控制会议专栏 | Updated：2026-01-06

- 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
- 中国化学工程学报（英文版） 2015年23卷第12期页码：1987-1996
- Affiliations：
  
  1. 2 Engineering Research Center of Intelligent PSE, Ministry of Education in China,Beijing,China,100029
  2. 3 Sinopec Engineering (Group) Co., LTD,Beijing,China,100101
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.11.009
  中图分类号：
- 纸质出版：2015
- Accepted：
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Huihui Gao, Yuan Xu, Xiangbai Gu, 等. Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale[J]. 中国化学工程学报（英文版）, 2015,23(12):1987-1996.

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.
Huihui Gao, Yuan Xu, Xiangbai Gu, 等. Systematic rationalization approach for multivariate correlated alarms based on interpretive structural modeling and Likert scale[J]. 中国化学工程学报（英文版）, 2015,23(12):1987-1996. DOI： 10.1016/j.cjche.2015.11.009.

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. DOI： 10.1016/j.cjche.2015.11.009.

摘要

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.

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