摘要
小波变换具有良好的时-频特性,因此可以有效地用于电气设备故障诊断。在对电气设备进行故障分析、诊断过程中,利用小波变换进行故障信号的故障时刻检测具有重要意义。小波变换用于电气设备故障诊断就是对电气设备各种电磁、机械等信号进行实时监测控制,判断其状态,以便在故障初期或故障时刻发出警报,并随时进行处理,排除故障。对信号进行特征提取,是故障诊断的关键。突变信号往往表明电气设备发生了某类故障,如果能对突变信号进行有效识别,就可以进行故障诊断、故障分析,从而排除故障。分析了电气设备故障的奇异性,通过仿真得出小波变换用于电气设备故障诊断的方法,以准确检测奇异点,确定故障时刻。
Because the wavelet transformation has the good hour-frequency characeristic,it can be availably used for the fault diagnosis in the electricity equipments.At the proceeds of the electric appliances equipments analyse and examination,it's so important that uses the wavelet transformation to the electric appliances equipments examination.The wavelet transformation used for the electric appliances equipments examination is the examination of solid hour for the physics signal of electromagnetism,machine,etc.Distinguish its appearance,send out the alert at the early or every moment in the electric equipments breakdown and handle,expel the breakdown in the time.Withdrawing the signal characteristic is a key to fault diagnosis.The mutation signal usually expresses the electricity equipments have a certain fault take placed.If it can identify the mutation signal,so can proceed the fault diagnosis,the fault analysis and the fault expel.Analyzed the strange of the fault in the electricity equipment,and drew a conclution of the wavelet transformation used in the electricity equipments falut.So it can withdraw the fault time,and prove the correctness of the strange point examination.
出处
《仪表技术与传感器》
CSCD
北大核心
2004年第5期46-48,共3页
Instrument Technique and Sensor
基金
国家自然科学基金资助项目(60374020)
河北省自然科学基金资助项目(F2004000180)
河北省教育厅自然科学研究资助项目(2003240)
