Development and application of equipment maintenance and safety integrity management system

被引:49
作者
Wang Qingfeng [1 ]
Liu Wenbin [1 ]
Zhong Xin [2 ]
Yang Jianfeng [1 ]
Yuan Qingbin [3 ]
机构
[1] Beijing Univ Chem Technol, Minist Educ, Engn Res Ctr Chem Technol Safety, Beijing 100029, Peoples R China
[2] Minist Publ Secur, Res Inst 1, Beijing 100048, Peoples R China
[3] Jinzhou Petrochem Co, Jinzhou 121001, Peoples R China
关键词
MSI; Maintenance Indicator Decision-making; Maintenance Tasks Optimization and Formulation; RELIABILITY; MODEL; PREDICTION; PROGRAMS;
D O I
10.1016/j.jlp.2011.01.008
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Equipment management in process industry in China essentially belongs to the traditional breakdown maintenance pattern, and the basic inspection/maintenance decision-making is weak. Equipment inspection/maintenance tasks are mainly based on the empirical or qualitative method, and it lacks identification and classification of critical equipment, so that maintenance resources can't be reasonably allocated. Reliability, availability and safety of equipment are difficult to control and guarantee due to the existing maintenance deficiencies, maintenance surplus, potential danger and possible accidents. In order to ensure stable production and reduce operation cost, equipment maintenance and safety integrity management system (MSI) is established in this paper, which integrates ERP, MES, RBI, RCM, SIL and PMIS together. MSI can provide dynamic risk rank data, predictive maintenance data and RAM decision-making data, through which the personnel at all levels can grasp the risk state of equipment timely and accurately and optimize maintenance schedules to support the decision-making. The result of an engineering case shows that the system can improve reliability, availability, and safety, lower failure frequency, decrease failure consequences and make full use of maintenance resources, thus achieving the reasonable and positive result. (c) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:321 / 332
页数:12
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