NDLI: Parametric sensitivity analysis of maintainability design

Content Provider	IEEE Xplore Digital Library
Author	Jianjun Yang Zhenyu Xia Bo Yang
Copyright Year	2009
Description	Author affiliation: Dept. of Management Engineering Naval University of Engineering Wuhan, China (Jianjun Yang; Zhenyu Xia) \|\| Team of graduate student management Naval University of Engineering Wuhan, China (Bo Yang)
Abstract	Because of fuzzy and correlative parameters of maintainability design, which are the factors to influent the maintainability design, traditional evaluating methods of maintainability design fail to distinctly express the influence of design factors on maintainability. This paper applies a method linking fuzzy mathematic theory and neural network to establish a network for analyzing the parametric sensitivity of maintainability design. By this network, parameters of maintainability design are regarded as the input of the network and the result of maintainability design is referred to the output of the network. Obviously, when the parameters are changed partially, the input of the network is different. As a result, the output of the network is changed too. Therefore, with fluctuant parameters of maintainability design, we can analyze the sensitive degree of maintainability on equipment by the different outputs.
Starting Page	525
Ending Page	555
File Size	983771
Page Count	31
File Format	PDF
ISBN	9781424449033
DOI	10.1109/ICRMS.2009.5270131
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	fuzzy judgment Sensitivity analysis Design methodology Maintenance engineering Mathematics neural network parameter of maintainability design Design engineering Engineering management Neural networks Production Fuzzy neural networks sensitivity Joining processes
Content Type	Text
Resource Type	Article

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