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Fault Diagnosis And The Selection Of Wavelet Base About Electromotor

Posted on:2007-09-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y YanFull Text:PDF
GTID:2132360185476387Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
The electromotor has been used in many fields of industry. When the motor is in fault conduction. There shoule be huge economy loss and important influence on society, so the study on the fault diagnosis theory and technology of motor undet all kinds of instance is important. There are many kinds of electric machinery fault. For example, slow variety fault and sudden variety fault, electric fault and machinery fault, linearity system fault and unlinearity system fault, their ties are very complex. It is an arduous duty that how to withdraw parameter that reflects the incipient fault and tendency about the malfunction.On the base of wavelet analysis about the motor's fautlt diagnosis, this paper applies the Fourier transformation to select the best wavelet base. First, select the wavelet base then use the wavelet base to dignose'in malfunction of motor.
Keywords/Search Tags:wavelet base, wavelet analysis, fault diagnosis, character extraction
PDF Full Text Request
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