SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2019, Vol. 27 ›› Issue (12): 2979-2988.DOI: 10.1016/j.cjche.2019.03.013

• Process Systems Engineering and Process Safety • 上一篇    下一篇

Fuzzy comprehensive assessment of running condition for a large-scale centrifugal compressor set

Yanji Sun1, Yanqiu Pan1, Zhongliang Zhou2, Xin Li2   

  1. 1 School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China;
    2 Petro-CyberWorks Information Technology Co., Ltd., Beijing 100020, China
  • 收稿日期:2019-01-29 修回日期:2019-03-20 出版日期:2019-12-28 发布日期:2020-03-17
  • 通讯作者: Yanqiu Pan

Fuzzy comprehensive assessment of running condition for a large-scale centrifugal compressor set

Yanji Sun1, Yanqiu Pan1, Zhongliang Zhou2, Xin Li2   

  1. 1 School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China;
    2 Petro-CyberWorks Information Technology Co., Ltd., Beijing 100020, China
  • Received:2019-01-29 Revised:2019-03-20 Online:2019-12-28 Published:2020-03-17
  • Contact: Yanqiu Pan

摘要: A fuzzy comprehensive assessment method of running condition was constructed and applied to a large-scale centrifugal compressor set in a petrochemical corporation aiming at the monitoring and early warning of abnormal conditions in industry. The maximal information coefficient (MIC) correlation analysis of indexes was introduced to determine the independent indexes to be assessed, and the dynamic deterioration degree was calculated using the predicted independent indexes by the second-order Markov chain model. The fuzzy membership degree weighting method was employed to assess the running condition of all units in the set. Simple and direct radar chart was used to visualize condition assessment grades. Results showed that the proposed fuzzy comprehensive assessment method successfully assessed the running condition of the set. The constructed method achieved 10 min earlier alarm than the traditional threshold alarm occurred at the specific moment of 00:44 on April 7 of 2018. The method would provide a valuable tool and have a wide engineering application in ensuring the safety and reliability of industrial production.

关键词: Compressor, Condition assessment, Mathematical modeling, Maximal information coefficient, Dynamic deterioration degree, Prediction

Abstract: A fuzzy comprehensive assessment method of running condition was constructed and applied to a large-scale centrifugal compressor set in a petrochemical corporation aiming at the monitoring and early warning of abnormal conditions in industry. The maximal information coefficient (MIC) correlation analysis of indexes was introduced to determine the independent indexes to be assessed, and the dynamic deterioration degree was calculated using the predicted independent indexes by the second-order Markov chain model. The fuzzy membership degree weighting method was employed to assess the running condition of all units in the set. Simple and direct radar chart was used to visualize condition assessment grades. Results showed that the proposed fuzzy comprehensive assessment method successfully assessed the running condition of the set. The constructed method achieved 10 min earlier alarm than the traditional threshold alarm occurred at the specific moment of 00:44 on April 7 of 2018. The method would provide a valuable tool and have a wide engineering application in ensuring the safety and reliability of industrial production.

Key words: Compressor, Condition assessment, Mathematical modeling, Maximal information coefficient, Dynamic deterioration degree, Prediction