中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement

文献类型:会议论文

作者Guo HF(郭海丰); Wang K(王锴); Xu AD(徐皑冬); Cui H(崔和); Jiang J(姜晶)
出版日期2016
会议名称2016 IEEE International Conference on Smart Data(SmartData2016)
会议日期December 16-19, 2016
会议地点Chengdu, China
关键词SOV vibration signal fault wavelet
页码1-4
通讯作者郭海丰
中文摘要Solenoid valves are vital pieces of equipment which have been widely used in a variety of industries. Fault detection methods of solenoid valves play important role for improving their reliability and maintenance efficiency due to their high failure rates in the field. Therefore, a novel method of fault detection for solenoid valves based on vibration signal measurement is proposed in this paper. The vibration sensor is place on the top of the solenoid valve and the vibration signal is collected by Labview SignalExpress system. The amplitude of the signal is extracted by denoising algorithm based on Wavelet and analyzed to detect the working state with the help of health index. The method is not interfered by the power supply system, and the method enhance the ability to resist interference. Experimental platform was set up to validate the proposed method by injecting faults into the solenoid valve. Experimental results show that the method proposed can provide not only indications of whether or not the valve is functioning, but also the information of how well the valve is functioning, thus empowering condition-based maintenance operations.
产权排序1
会议录2016 IEEE International Conference on Smart Data(SmartData2016)
会议录出版者IEEE
会议录出版地New York
语种英语
源URL[http://ir.sia.cn/handle/173321/19505]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Guo HF,Wang K,Xu AD,et al. A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement[C]. 见:2016 IEEE International Conference on Smart Data(SmartData2016). Chengdu, China. December 16-19, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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