Research of fault diagnosis for turbidity sensor based on wavelet analysis

LIU Jiang-li; CHEN Jian; XIE Yong-xing

doi:10.13873/j.1000-97872011.08.035

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Research of fault diagnosis for turbidity sensor based on wavelet analysis

更新时间：2025-09-11

- Research of fault diagnosis for turbidity sensor based on wavelet analysis
- Vol. 30, Issue 8, Pages: 12-14(2011)
- 作者机构：
  
  广东工业大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.08.035
  CLC： TP212
- Published：2011
- 稿件说明：
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[1]刘江利,陈健,谢永兴.基于小波分析的浊度传感器故障诊断研究[J].传感器与微系统,2011,30(08):12-14.

LIU Jiang-li, CHEN Jian, XIE Yong-xing. Research of fault diagnosis for turbidity sensor based on wavelet analysis[J]. 2011, 30(8): 12-14.
[1]刘江利,陈健,谢永兴.基于小波分析的浊度传感器故障诊断研究[J].传感器与微系统,2011,30(08):12-14. DOI： 10.13873/j.1000-97872011.08.035.

LIU Jiang-li, CHEN Jian, XIE Yong-xing. Research of fault diagnosis for turbidity sensor based on wavelet analysis[J]. 2011, 30(8): 12-14. DOI： 10.13873/j.1000-97872011.08.035.

摘要

由于小波分析具有多分辨率分析的特点

在时域和频域都有表征信号局部信息的能力。提出以小波分析为基础的浊度传感器故障诊断的研究

对信号进行小波变换

求出奇异性和奇异值

从而检测传感器故障发生的时刻和严重情况。仿真实验表明:该法能有效地检测和识别出浊度传感器故障、且具有灵敏性好、故障诊断率高等特点。

Abstract

Because the wavelet has the characteristic of multi-resolution analysis

and has the ability to represent signal of local information in time domain and frequency domain.The research is based on wavelet analysis of wavelet transform for fault diagnosis of turbidity sensor

singularity and the singular values are found out

and fault time and serious condition of the sensor are detected.Simulation results show that this method can effectively detect and identify faults of turbidity sensor

which has characteristics of sensitivity and high rate of fault diagnosis.

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references

基于离散小波变换的机械故障信号提取 [J]. 杨贤昭,程耕国. 制造业自动化 . 2009(09)

小波变换在信号降噪中的应用研究 [J]. 付明. 微计算机信息 . 2008(01)

Matlab小波分析与工程应用[M]. 国防工业出版社 , 张德丰, 2008

小波分析及其应用[M]. 清华大学出版社 , 刘明才编著, 2005

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