首页|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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Alarm flood is one of the main problems in the alarm systems of industrial process.Alarm root-cause analysis and alarm prioritization are good for alarm flood 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 alarm priority and reduce the blindness of alarm handling.As a case study,the Tennessee Eastman process is utilized to show the effectiveness and validity of proposed approach.Alarm system performance comparison shows that our rationalization methodology can reduce the alarm flood to some extent and improve the performance.

Alarm rationalizationRoot-cause analysisAlarm priorityInterpretive structural modelingLikert scaleTennessee Eastman process

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

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College of Information Science & Technology,Beijing University of Chemical Technology,Beijing 100029,China

Engineering Research Center of Intelligent PSE,Ministry of Education in China,Beijing 100029,China

Sinopec Engineering(Group)Co.,LTD,Beijing 100101,China

Supported by the National Natural Science Foundation of ChinaSupported by the National Natural Science Foundation of ChinaFundamental Research Funds for the Central Universities

6147302661104131JD1413

2015

中国化学工程学报(英文版)
中国化工学会

中国化学工程学报(英文版)

CSTPCDCSCDSCIEI
影响因子：0.818
ISSN：1004-9541
年,卷(期)：2015.23(12)
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