ARRs based sensor placement optimization for fault diagnosis

被引：0

作者：

Du Minjie ^{[1
]}

Cai Jinyan ^{[1
]}

Liu Limin ^{[1
]}

Chen Peng ^{[1
]}

机构：

[1] Mech Engn Coll, Shijiazhuang 050003, Peoples R China

来源：

INTERNATIONAL WORKSHOP ON AUTOMOBILE, POWER AND ENERGY ENGINEERING | 2011年 / 16卷

关键词：

Analytical redundancy relations; Hypothetical signature matrix; Integer programming; Sensor placement optimization; Fault diagnosis; TEST POINTS SELECTION;

D O I：

10.1016/j.proeng.2011.08.1049

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Analytical redundancy relations (ARRs) are used frequently in the arena of diagnosis as well as optimizing, analyzing, and validating of sensors of the system, but less attention has been paid to the development of systematic and efficient approaches for the generation of complete ARRs set. An efficient method for generating the ARRs is presented in this paper and the hypothetical signature matrix (HSM) is obtained consequently. Then the optimal sensor placement problem is mapped onto a special case of the 0-1 integer programming (IP) problem, which is solved by the algorithm of binary particle swarm optimization (BPSO) in the end. The effectiveness of the method is verified by the application of a synthetic example. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Society for Automobile, Power and Energy Engineering

引用

页数：6

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