Research On Decision Support System Of Equipment Maintenance Based On Reliability Theory

With the rapid development of industrials, the problems of schedule maintenance, which method has not been able to meet demands of factories in our country, are beginning to appear. The optimization for maintenance are paying a significant role in the modern industrial, improving the reliability of plants and saving cost of maintenance and operation. Thus, the optimization for maintenance is always one of the most important and active parts in the maintenance management fields. Considering many a method used in the optimization for maintenance, reliability-centered maintenance (RCM) is the most popular one used home and abroad.Based on the history of development of the optimization for maintenance, the thesis accounts for the reason why it is necessary that RCM is used in industrial. During this process, the thesis states the applications of RCM abroad. Then, the analysis process of RCM and the process of practical maintenance are combined according to RCM theory. We point out the math model and decision process of the optimization for plant's maintenance based on reliability theory. After then, the software program is developed to support decision processes.Finally, according to data about plant's capital, maintenance records and practical conditions and taking use of the decision support system, the thesis takes No. 1880 furnace of Baosteel Group as an example, analyses the optimization cycle of predictive maintenance and forms the special maintenance plan.