Application of fuzzy comprehensive evaluation in filter allocation and replacement strategies
An integer nonlinear programming (INP) model has been established, which can effectively identify the optimal contamination mitigation plan in fluid power systems (FPS). A fuzzy comprehensive evaluation has been developed to handle a more appropriate result compared with the other methods for taking more relevant factors into account. Several uncertain factors are introduced into evaluation of alternative options by means of optimal cut level set approach and membership functions. In comparison with the deterministic model, the developed method takes much full consideration of existing factors which affects the final satisfaction degree. The method has been applied to a study case of the design and management of filtration .systems to protect a given FPS. The experiences and judgments of experts are adopted to generate the filter allocation and replacement strategies under various system conditions.
Contamination control Fuzzy comprehensive evaluation Membership function Uncertainty
Songlin Nie Zhibing Xiong Yongping Li Guohe Huang
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technolo School of Urban and Environmental Science, Peking University, Beijing 100871, China Faculty of Engineering, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
国际会议
杭州
英文
916-919
2009-04-08（万方平台首次上网日期，不代表论文的发表时间）