Study Of Early Warning For Servo-Mechanism Faults

摘要：

Data acquisition is designed to collect the signals of current, vibration, etc. from the weather radar servo-mechanism. In order to achieve the purposes of early warning to the weather radar servo-mechanism faults, Wavelet packed feature extraction method is used in collection data, and the wavelet packed energy spectrum method is used to make the faults signals quantized and analyzed. The on-site installation verification test proved that the weather radar servo-mechanism faults diagnosis method is a more convenient and accurate method which is based on the wavelet packed enemy spectrum analysis.

关键词： weather radar servo-mechanism wavelet packed Energy spectrum early warning for the faults

作者: Zhao Yan Huang Min Han Ming

作者单位: Institute of Information Science and Engineering Hebei University of Science and Technology Shijiazh Institute of Information Science and Engineering Hebei University of Science and Technology Shijiazh Institute of Information Science and Engineering Yanshan University Qinhuangdao, China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 1915-1918

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）