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	Reliability description of fault detection and optimization algorithm of sensor location
	Yang Fan ; Xiao De-yun
	2010-05-06 ; 2010-05-06
关键词	Theoretical or Mathematical/ directed graphs fault location optimisation reliability sensors/ reliability description fault detection reliability optimization algorithm sensor location large-scale complicated systems probabilistic signed directed graph model sensor selection system faults probabilistic SDG model/ B7230 Sensing devices and transducers B0170L Inspection and quality control B0170N Reliability B0260 Optimisation techniques B0250 Combinatorial mathematics
中文摘要	Reliability problems in fault detection for large-scale complicated systems are studied by using a probabilistic signed directed graph (SDG) model. Influences of sensor selection and location on reliability with respect to different sensor fault probabilities are analyzed. When system faults occur, the sensors can detect the departure of variances, but the system faults may be ignored or misdiagnosed because of the sensor faults, directly affecting the fault detection reliability. With description of the probabilistic SDG model, the reliability description of fault detection is given. Optimal sensor location and the corresponding algorithm are studied under restricted resources. Furthermore, a probabilistic SDG model is established for a typical 65 t/h boiler, on which the above algorithm is executed to determine an optimization scheme. Simulation experiment shows that sensor location solved in this way is effective in improving fault detection reliability.
语种	中文 ; 中文
出版者	Editorial Committee of J. Applied Sciences ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9030]
专题	清华大学
推荐引用方式 GB/T 7714	Yang Fan,Xiao De-yun. Reliability description of fault detection and optimization algorithm of sensor location[J],2010, 2010.
APA	Yang Fan,&Xiao De-yun.(2010).Reliability description of fault detection and optimization algorithm of sensor location..
MLA	Yang Fan,et al."Reliability description of fault detection and optimization algorithm of sensor location".(2010).

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