基于小波分析的传感器故障诊断方法仿真研究
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Simulation Research on fault diagnosis method of sensorbased on wavelet analysis
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    摘要:

    针对装甲车辆数据采集控制系统中传感器故障难于直接检测的问题,本文提出一种基于小波变换的方法对传感器故障进行诊断。首先介绍了小波分析的基本理论,对比阐述了连续小波变换和离散小波变换的原理和优缺点;其次利用Matlab/Simulink搭建模型进行仿真试验,采用连续小波变换对传感器故障进行检测,准确定位故障发生时刻;最后本文还选取了几种典型的传感器故障进行诊断,仿真结果验证了该方法的可行性和准确性。

    Abstract:

    Aiming at the problem that sensor fault is difficult to detect directly in armored vehicle data acquisition and control system, this paper proposes a method based on wavelet transform to diagnose sensor faults. First, the basic theory of wavelet analysis is introduced, and the principles and advantages and disadvantages of continuous wavelet transform and discrete wavelet transform are expounded; Secondly, the simulation test is carried out by using the Matlab/Simulink model, and the continuous wavelet transform is used to detect the fault of the sensor, and the fault occurrence time is accurately located. Finally, several typical sensor faults are selected, and the simulation results verify the feasibility and accuracy of the method.

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张伟鹏,李光升,李国强.基于小波分析的传感器故障诊断方法仿真研究计算机测量与控制[J].,2018,26(4):39-43.

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  • 收稿日期:2017-11-29
  • 最后修改日期:2017-12-27
  • 录用日期:2017-12-27
  • 在线发布日期: 2018-04-23
  • 出版日期: