Journal of Projectiles, Rockets, Missiles and Guidance >
Wavelet Modulus Maxima Multifractal Analysis and Anomaly Detection of Telemetry Vibration Signal
Received date: 2015-05-17
Online published: 2025-05-30
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.
LIU Xue , WANG Wanjin , WANG Wei . Wavelet Modulus Maxima Multifractal Analysis and Anomaly Detection of Telemetry Vibration Signal[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2016 , 36(3) : 136 -140 . DOI: 10.15892/j.cnki.djzdxb.2016.03.034
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