An improved fuzzy programming model with an L-R fuzzy number for filter   management strategies in fluid power systems under uncertainty

doi:10.1243/09544062JMES1839

CORC > 北京大学 > 城市与环境学院

	An improved fuzzy programming model with an L-R fuzzy number for filter management strategies in fluid power systems under uncertainty
	Nie, S. L. ; Xiong, Z. B. ; Li, Y. P. ; Huang, G. H. ; Hu, Z.
刊名	proceedings of the institution of mechanical engineers part c journal of mechanical engineering science
	2010
关键词	contaminant sensitivity decision making fluid power system L-R fuzzy number optimization AXIAL PISTON MOTOR CONTAMINATION CONTROL WASTE MANAGEMENT ALLOCATION RESOURCES ALGORITHM GA
DOI	10.1243/09544062JMES1839
英文摘要	A fuzzy non-linear programming model is developed for the assessment of filter allocation and replacement strategies in fluid power systems (FPSs) under uncertainty. It can not only handle uncertainties expressed as L-R fuzzy numbers, but also enhance the system robustness by transforming the fuzzy inequalities into inclusive constraints. In modelling formulation, theory of contamination wear is introduced to reflect the interactions between system performance and system contamination level. The developed method has been applied to the planning of filter allocation and replacement for an FPS with a bypass filtration system, and a piecewise linearization approach is proposed for solving model non-linearities. Three different contaminant ingression rates are examined based on a number of filter-installation scenarios. The generated solutions can be used for providing guidance to decision makers to identify better contamination control plans for achieving a minimized system cost and system-failure risk.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000282048400018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Mechanical; SCI(E); EI; 5; ARTICLE; C9; 2011-2026; 224
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/396091]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Nie, S. L.,Xiong, Z. B.,Li, Y. P.,et al. An improved fuzzy programming model with an L-R fuzzy number for filter management strategies in fluid power systems under uncertainty[J]. proceedings of the institution of mechanical engineers part c journal of mechanical engineering science,2010.
APA	Nie, S. L.,Xiong, Z. B.,Li, Y. P.,Huang, G. H.,&Hu, Z..(2010).An improved fuzzy programming model with an L-R fuzzy number for filter management strategies in fluid power systems under uncertainty.proceedings of the institution of mechanical engineers part c journal of mechanical engineering science.
MLA	Nie, S. L.,et al."An improved fuzzy programming model with an L-R fuzzy number for filter management strategies in fluid power systems under uncertainty".proceedings of the institution of mechanical engineers part c journal of mechanical engineering science (2010).