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Jul 2, 2019
Research on Early Warning Method of ZPW-2000A Joint-Less Track Circuit Based on Historical Data
Authors: Ke Cui [email protected], Wei Li [email protected], and Dongxiu Ou [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
Based on the centralized monitoring data of the ZPW-2000A joint-less track circuit, this paper realizes the early warning for the frequent faults of the track circuit of the high-speed railway. According to the mapping relationship between the monitoring data and the basic equipment faults indoors and outdoors, the data trend analysis method is used to predict the monitoring data in the future period from the historical data, and warning about possible faults in the track circuit equipment can be caught early. This data tend analysis method plays a positive role in the implementation of comprehensive maintenance and intelligent operation and maintenance of modern railway.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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The Key Laboratory of Road and Traffic Engineering, Ministry of Education, China, School of Transportation Engineering, Tongji Univ., No. 158, Min De Rd., Jingan District, Shanghai, China. E-mail: [email protected]
Key Laboratory of Road and Traffic Engineering, Ministry of Education, China, School of Transportation Engineering, Tongji Univ., No. 4800 Cao’an Hwy., Shanghai, China. E-mail: [email protected]
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, China School of Transportation Engineering, Tongji Univ., No. 4800 Cao’an Hwy., Shanghai, China. E-mail: [email protected]
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