DEVELOPMENT OF THE RISK-BASED MAINTENANCE OPTIMIZATION SYSTEM FOR FOSSIL POWER PLANTS
来源期刊：Acta Metallurgica Sinica2004年第4期
论文作者：D.Watanabe T.Kuroishi H.Matsumoto K.Tominaga F.Sakata Y.Chuman N.Nishimura
Key words：plant asset management; risk based maintenance; probabilisticlife assessment; maintenance optimization;
Abstract: Cost reduction in electric power generation is a major management concern, and it is therefore necessary to reduce maintenance expenses while upholding plant reliability.A maintenance optimization system "FREEDOM", which uses RBM technique, DCF (discounted cash flow) and NPV (net present value) calculation functions, has been newly developed. This system probabilistically evaluates the lifetime of boiler and turbine and quantitatively calculates the risk defined as the cumulative probability of failure multiplied by the consequence of failure. Economically optimized timing of inspection and alternative countermeasure such as repair and replacement are then recommended. This system has already been applied to seven plants in Japan, and its effectiveness has been confirmed.
D.Watanabe1，T.Kuroishi2，H.Matsumoto1，K.Tominaga3，F.Sakata1，Y.Chuman1，N.Nishimura1
(1.Nagasaki R&D Center, Mitsubishi Heavy Industries, Ltd., Fukahori-Machi, Nagasaki 851-0392, Japan;
2.Power Systems Headquarters, Mitsubishi Heavy Industries, Ltd., Minato-Ku, Tokyo 108-8215, Japan;
3.Nagasaki Shipyard & Machinery Works, Mitsubishi Heavy Industries, Ltd., Akunoura-Machi, Nagasaki850-8610, Japan)
Abstract:Cost reduction in electric power generation is a major management concern, and it is therefore necessary to reduce maintenance expenses while upholding plant reliability.A maintenance optimization system "FREEDOM", which uses RBM technique, DCF (discounted cash flow) and NPV (net present value) calculation functions, has been newly developed. This system probabilistically evaluates the lifetime of boiler and turbine and quantitatively calculates the risk defined as the cumulative probability of failure multiplied by the consequence of failure. Economically optimized timing of inspection and alternative countermeasure such as repair and replacement are then recommended. This system has already been applied to seven plants in Japan, and its effectiveness has been confirmed.
Key words:plant asset management; risk based maintenance; probabilisticlife assessment; maintenance optimization;
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