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Online and Remote Machine Condition Monitor and Fault Diagnosis System Using Wireless Sensor Networks
Zhang YY(张延宇); Zeng P(曾鹏); Yang G(杨光); Li JY(李金英)
作者部门工业控制网络与系统研究室
会议名称2013 15th IEEE International Conference on Communication Technology (ICCT 2013) 
会议日期November 17-19, 2013
会议地点Guilin, China
会议录名称Proceedings of 15th IEEE International Conference on Communication Technology (ICCT 2013) 
出版者IEEE
出版地NEW YORK
2013
页码259-265
收录类别EI ; CPCI(ISTP)
EI收录号20143618137105
WOS记录号WOS:000355664400044
产权排序1
ISBN号978-1-4799-0077-0
关键词Condition-based Maintenance Fault Diagnosis Industrial Wireless Sensor Network Wia-pa Vibration Transmitter
摘要Motor systems are critical equipment in modern industry. To make the equipment maintenance more efficient, this paper proposes an online and remote machine condition monitoring and fault diagnosis system for motor system based on WIA-PA (Wireless network for Industry Automation 􀃼 Process Automation). The system continuously monitors the status of the target motor systems using wireless vibration transmitters. After extracting the feature of vibration signals, the wireless vibration transmitters send feature data to host computer through WIA-PA wireless sensor network. These data are processed further in host computer to make diagnosis for the motor system using the customized expert system. This paper describes the structure of the system, vibration transmitter, WIA-PA wireless network and host computer system in detail. The proposed system was tested in field, and the results are presented.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13877
专题工业控制网络与系统研究室
通讯作者Zhang YY(张延宇)
作者单位1.Key Lab. of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.School of Computer and Information Engineering, Henan University, Kaifeng 475004, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
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GB/T 7714
Zhang YY,Zeng P,Yang G,et al. Online and Remote Machine Condition Monitor and Fault Diagnosis System Using Wireless Sensor Networks[C]. NEW YORK:IEEE,2013:259-265.
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