Abstract
In order to position the singular points and irregular transient parts of the motor vibration signal, the principle of signal singularity detection based on wavelet transformation modulus maximum is presented in this chapter. And the multiplying detail signal multiplication method is adopted according to the signal singularity Lipschitz exponent and modulus maximum scale transform characteristics. Simulation signal and vibration signal experiment results show that the wavelet can accurately analyze the time distortion occurs. And by using the detail signal multiplication approach, the signals are enhanced while suppressing the noise, so as to achieve the accurate positioning of the singular points of the motor vibration signal.
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Acknowledgment
This research was sponsored by science Research Foundation (09KJB510005, 11KJB510007) of the Education Bureau of Jiangsu province.
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Chen, D., Zhao, J., Shen, Z. (2014). Positioning of Singular Point of Motor Vibration Signal Based on Wavelet Transform. In: Xing, S., Chen, S., Wei, Z., Xia, J. (eds) Unifying Electrical Engineering and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 238. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4981-2_147
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DOI: https://doi.org/10.1007/978-1-4614-4981-2_147
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