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基于小波分析的压力传感器奇异信号的检测
引用本文:王燕山,刘恩朋,方中祥. 基于小波分析的压力传感器奇异信号的检测[J]. 测控技术, 2006, 25(4): 17-19
作者姓名:王燕山  刘恩朋  方中祥
作者单位:北京瑞赛长城航空测控技术有限公司,北京,100022;北京瑞赛长城航空测控技术有限公司,北京,100022;北京瑞赛长城航空测控技术有限公司,北京,100022
摘    要:在故障诊断中,故障通常表现为输出信号发生突变,因而对突变点的检测有非常重要的意义.鉴于传统信号处理方法的局限性,小波分析以其具备时频局部特性,成为解决此类问题的一个重要方法.推导了小波分析与奇异信号检测的之间的关系,并对某压力传感器的信号进行了奇异值的检测.

关 键 词:小波分析  奇异信号  检测  故障诊断
文章编号:1000-8829(2006)04-0017-03
收稿时间:2005-07-01
修稿时间:2005-07-01

Pressure Sensor Singular Signal Detecting Based on Wavelet Analysis
WANG Yan-shan,LIU En-peng,FANG Zhong-xiang. Pressure Sensor Singular Signal Detecting Based on Wavelet Analysis[J]. Measurement & Control Technology, 2006, 25(4): 17-19
Authors:WANG Yan-shan  LIU En-peng  FANG Zhong-xiang
Affiliation:Beijing Changcheng Aeronautic Measurement and Control Technology Co., Ltd., Beijing 100022, China
Abstract:In fault diagnosis research,the fault is usually accompanied with signal discontinuity.So it is of great importance to detect the signal discontinuity.The wavelet analysis is a key method to solve this kind of the problem because of its unique time-frequency localization characteristic,compared with traditional methods.The relationship between wavelet analysis and singular signal detecting is deduced,and the example of a pressure sensor singular signal detecting is presented.
Keywords:wavelet analysis  singular signal  detecting  fault diagnosis
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