Improved IPINP model for contamination control in fluid power systems under uncertainty
An improved interval-parameter integer nonlinear programming (IPINP) method is developed to optimize the filter management strategy of a fluid power system (FPS) with a bypass filtration system, which will consider the uncertainty factors of practical system, such as contaminant ingression / generation rates, mass of contaminant particles intercepted by filters, the relationship between contamination level and service life of pump. On the base of analyzing contamination levels under some given filter allocation strategies, the contaminant ingression/generation rates are obtained, and the contamination levels in different segments of the FPS are expressed by some iterative functions. Moreover, the system costs of filter maintenance and depreciation of hydraulic pump are formulated as two evaluation index factors respectively. The generated optimization results indicate that the developed model is feasible to offer further insight for decision makers to make optimal plans for filter allocation and replacements for FPSs.
Contamination control Decision-making Filter Fluid power system Optimization Uncertainty
Zhen Hu Songlin Nie Yongping Li Zhibing Xiong
School of Mechanical Science and Engineering, Huazhong University of Science & Technology, Wuhan 430 College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technolo School of Urban and Environmental Science, Peking University, Beijing 100871, China
国际会议
杭州
英文
933-938
2009-04-08（万方平台首次上网日期，不代表论文的发表时间）