Identification of filter management strategy in fluid power systems   under uncertainty: an interval-fuzzy parameter integer nonlinear   programming method

doi:10.1080/00207720903572430

CORC > 北京大学 > 城市与环境学院

	Identification of filter management strategy in fluid power systems under uncertainty: an interval-fuzzy parameter integer nonlinear programming method
	Nie, S. L. ; Hu, B. ; Li, Y. P. ; Hu, Z. ; Huang, G. H.
刊名	international journal of systems science
	2011
关键词	contamination control decision-making hydraulic system interval-fuzzy optimisation integer programming uncertainty SOLID-WASTE MANAGEMENT WATER-RESOURCES MANAGEMENT AXIAL PISTON MOTOR CONTAMINATION CONTROL MODEL
DOI	10.1080/00207720903572430
英文摘要	An interval-fuzzy integer nonlinear programming (IFINP) method is developed for the identification of filter allocation and replacement strategies in a fluid power system (FPS) under uncertainty. It can handle uncertainties expressed as interval-fuzzy values that exist in the left- and right-hand sides of constraints as well as in the objective function. The developed method is applied to a case of planning filter allocation and replacement strategies under uncertainty for a FPS with a single circuit. A piecewise linearisation approach is used to convert the nonlinear problem of FPS into a linear one. The generated fuzzy solutions will be used to analyse and interpret the multiple decision alternatives under various system conditions, and thus help decision-makers to make a compromise among the system contamination level, system cost, satisfaction degrees and system-failure risks under different contaminant ingression/generation rates. The results demonstrate that the suction and return filters can effectively reduce the contamination level associated with a low system cost, but the FPS will take lots of failure risk when the contaminant ingression/generation rate is high; and the combination of suction and pressure filters can bring the lowest system cost with more security instead. Furthermore, comparisons for the optimised solutions are made among IFINP, interval-parameter integer nonlinear programming and deterministic linear programming also. Generally, the IFINP method can effectively reduce the total design and operation cost of the filtration system when contaminants ingression/generation rate is high, and it could be extended to the lubricating system.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000284636400009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Automation & Control Systems; Computer Science, Theory & Methods; Operations Research & Management Science; SCI(E); EI; 2; ARTICLE; 3; 429-448; 42
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/241159]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Nie, S. L.,Hu, B.,Li, Y. P.,et al. Identification of filter management strategy in fluid power systems under uncertainty: an interval-fuzzy parameter integer nonlinear programming method[J]. international journal of systems science,2011.
APA	Nie, S. L.,Hu, B.,Li, Y. P.,Hu, Z.,&Huang, G. H..(2011).Identification of filter management strategy in fluid power systems under uncertainty: an interval-fuzzy parameter integer nonlinear programming method.international journal of systems science.
MLA	Nie, S. L.,et al."Identification of filter management strategy in fluid power systems under uncertainty: an interval-fuzzy parameter integer nonlinear programming method".international journal of systems science (2011).