Wavelet Modulus Maxima Multifractal Analysis and Anomaly Detection of Telemetry Vibration Signal
Received date: 2015-05-17
Online published: 2025-05-30
刘学 , 王万金 , 王玮 . 遥测振动信号的小波模极大值多重分形分析与异常检测[J]. 弹箭与制导学报, 2016 , 36(3) : 136 -140 . DOI: 10.15892/j.cnki.djzdxb.2016.03.034
In view of complex composition, nonlinear and non-stationary, as well as strong noise characterized by telemetry vibration signal in frequency domain, a telemetry vibration signal detection method based on wavelet modulus maxima multi-fractal analysis was proposed.Firstly, the collected telemetry vibration signal was amended in zero drift and eliminated in trend term.Then, the vibration signal was analyzed by the wavelet modulus maxima multi-fractal analysis method, and the multi-fractal characteristic parameters were extracted and input to SVM classifier, Finally, the abnormal telemetry vibration signal was detected through the classification result.The measured data demonstrate effectiveness of this method.
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