基于小波分析的汽轮发电机组振动信号检测

周建萍; 杨旭红; 郑应平

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上海电力大学学报:2008,24(3):263-265

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基于小波分析的汽轮发电机组振动信号检测

周建萍^1,2, 杨旭红¹, 郑应平²

(1.上海电力学院电力与自动化工程学院, 上海 200090;2.同济大学电子与信息工程学院, 上海 200092)

Check of Vibration Signals for Turbo-generator Units Based on Wavelet Analysis

ZHOU Jian-ping^1,2, YANG Xu-hong¹, ZHENG Ying-ping²

(1.School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China)

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投稿时间：2008-06-19

中文摘要: 汽轮发电机组的余弦突变及倍频突变是现场常见的振动故障,模拟了一个正弦振动信号分别产生余弦突变和倍频突变,并利用db₅小波对此故障信号进行5层分解得到5层细节信号.故障信号分解的细节部分清晰地显示了奇异点的准确位置.仿真结果证明了小波分析用于汽轮发电机组振动信号检测的可行性和有效性,从而为汽轮发电机组振动信号的故障诊断提供有力依据.

中文关键词: 小波分析故障信号检测汽轮发电机组

Abstract:Dramatic change of cosine and multiple frequency is common vibration fault of turbo-generator units.The sine vibration signal is simulated to make cosine and multiple frequency change.The proposed signal is decomposed into 5 layers with db₅ wavelet and the detail signal of 5 layers can be obtained.The discontinuity is located accurately and clearly in the detail signal.The simulation results prove it feasible and valid to check the vibration signals for turbo-generator units based on wavelet analysis,which provides support for fault diagnosis of vibration signals for turbo-generator units.

keywords: wavelet analysis fault signal check turbo-generator unit

文章编号：20080315 中图分类号： 文献标志码：

基金项目:上海高校选拔培养优秀青年教师科研专项基金(Z2006-78);上海市重点学科建设项目(P1301)

作者	单位
周建萍	上海电力学院电力与自动化工程学院, 上海 200090 同济大学电子与信息工程学院, 上海 200092
杨旭红	上海电力学院电力与自动化工程学院, 上海 200090
郑应平	同济大学电子与信息工程学院, 上海 200092

Author Name	Affiliation
ZHOU Jian-ping	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China
YANG Xu-hong	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
ZHENG Ying-ping	School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China

引用文本：
周建萍,杨旭红,郑应平.基于小波分析的汽轮发电机组振动信号检测[J].上海电力大学学报,2008,24(3):263-265.
ZHOU Jian-ping,YANG Xu-hong,ZHENG Ying-ping.Check of Vibration Signals for Turbo-generator Units Based on Wavelet Analysis[J].Journal of Shanghai University of Electric Power,2008,24(3):263-265.