Fault Diagnosis for Mine Ventilator Based on Haarmonic Wavelet AnalysisChinese Full Text
FENG Wei;ZHENG Sheng;College of Information Engineering of Taiyuan University of Technology;
Abstract: For vibration signal of mine ventilator is dynamic, non-stationary and weak, a fault diagnosis method based on harmonic wavelet transform is proposed, overcome the phenomenon that signal omission and frequency leakage existing in the traditional diagnosis methods. For BDK-6-NO18 axialflow fan, taking the advantages of harmonic wavelet, extract the fault characteristic signal from vibration signal successfully.
- DOI：
10.13436/j.mkjx.201405118
- Series：
- Subject：
- Classification Code：
TD441
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