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	Fault Location Identification for Localized Intermittent Connection Problems on CAN Networks
	LEI Yong ; YUAN Yong ; SUN Yichao ; LEI Yong ; YUAN Yong ; SUN Yichao
	2016-03-30 ; 2016-03-30
关键词	CAN network fault location identification GZIP model intermittent connection TP273 TP206.3
其他题名	Fault Location Identification for Localized Intermittent Connection Problems on CAN Networks
中文摘要	The intermittent connection(IC)of the field-bus in networked manufacturing systems is a common but hard troubleshooting network problem,which may result in system level failures or safety issues.However,there is no online IC location identification method available to detect and locate the position of the problem.To tackle this problem,a novel model based online fault location identification method for localized IC problem is proposed.First,the error event patterns are identified and classified according to different node sources in each error frame.Then generalized zero inflated Poisson process(GZIP)model for each node is established by using time stamped error event sequence.Finally,the location of the IC fault is determined by testing whether the parameters of the fitted stochastic model is statistically significant or not using the confident intervals of the estimated parameters.To illustrate the proposed method,case studies are conducted on a 3-node controller area network(CAN)test-bed,in which IC induced faults are imposed on a network drop cable using computer controlled on-off switches.The experimental results show the parameters of the GZIP model for the problematic node are statistically significant(larger than 0),and the patterns of the confident intervals of the estimated parameters are directly linked to the problematic node,which agrees with the experimental setup.The proposed online IC location identification method can successfully identify the location of the drop cable on which IC faults occurs on the CAN network.; The intermittent connection(IC)of the field-bus in networked manufacturing systems is a common but hard troubleshooting network problem,which may result in system level failures or safety issues.However,there is no online IC location identification method available to detect and locate the position of the problem.To tackle this problem,a novel model based online fault location identification method for localized IC problem is proposed.First,the error event patterns are identified and classified according to different node sources in each error frame.Then generalized zero inflated Poisson process(GZIP)model for each node is established by using time stamped error event sequence.Finally,the location of the IC fault is determined by testing whether the parameters of the fitted stochastic model is statistically significant or not using the confident intervals of the estimated parameters.To illustrate the proposed method,case studies are conducted on a 3-node controller area network(CAN)test-bed,in which IC induced faults are imposed on a network drop cable using computer controlled on-off switches.The experimental results show the parameters of the GZIP model for the problematic node are statistically significant(larger than 0),and the patterns of the confident intervals of the estimated parameters are directly linked to the problematic node,which agrees with the experimental setup.The proposed online IC location identification method can successfully identify the location of the drop cable on which IC faults occurs on the CAN network.
语种	英语 ; 英语
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/144782]
专题	清华大学
推荐引用方式 GB/T 7714	LEI Yong,YUAN Yong,SUN Yichao,et al. Fault Location Identification for Localized Intermittent Connection Problems on CAN Networks[J],2016, 2016.
APA	LEI Yong,YUAN Yong,SUN Yichao,LEI Yong,YUAN Yong,&SUN Yichao.(2016).Fault Location Identification for Localized Intermittent Connection Problems on CAN Networks..
MLA	LEI Yong,et al."Fault Location Identification for Localized Intermittent Connection Problems on CAN Networks".(2016).

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