Development and application of process industry equipment maintenance information system for intelligent decision-making

被引：0
|
作者：
Wang Q. [1 ]
Yang J. [1 ]
Liu W. [1 ]
Yuan Q. [2 ]
Ma H. [3 ]
机构：
[1] Chemical Safety Engineering Research Center of Ministry of Education, Beijing University of Chemical Technology
[2] Jinzhou Petrochemical Company, PetroChina
[3] Sichuan Petrochemical Co. Ltd., PetroChina
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2010年 / 46卷 / 24期
关键词：
Availability; Integrity management; Maintainability; Predictive maintenance; Process industry; Reliability;
D O I：
10.3901/JME.2010.24.168
中图分类号：
学科分类号：
摘要：
Equipment management in Chinese petrochemical process industry basically belongs to the traditional breakdown maintenance pattern, and the basic inspection/maintenance decision-making is subjective and qualitative. 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, intelligent maintenance decision-making system(IMD) is established, which integrates enterprise resource planning(ERP), manufacturing executive system(MES), risk-based inspection(RBI), reliability-centered maintenance(RCM), safety integrity level(SIL), predictive maintenance information systems (PMIS), distributed control system(DCS) and other process data together. IMD can provide dynamic risk rank data, predictive maintenance data and equipment operation performance indicator 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. Experiences show that the key factors affecting the successful transition to an IMD informed approach include firm support from both the manager and the engineers as well as education and training for engineers, operators and maintenance staffs. © 2010 Journal of Mechanical Engineering.
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页码：168 / 177
页数：9
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