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- W2387945426 abstract "Vibrating sounds of motors, which contain abundant state information. In this paper we use vibrating sounds for fault detecting, and put forward a conception of relative entropy of integrated wavelet packet energy. It makes wavelet packet decomposition, uses decomposition coefficients to calculate the wavelet packet energy relative entropy of normal signals and faulty signals, and then obtains the relative entropy of integrated wavelet packet energy, which determines whether the motor is faulty. Comparing the results in each frequency to determine the fault location and what kind of fault. The example of audio fault detection has verified the effectiveness of the method." @default.
- W2387945426 created "2016-06-24" @default.
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- W2387945426 date "2014-01-01" @default.
- W2387945426 modified "2023-09-28" @default.
- W2387945426 title "Audio Fault Detection of Motor Based on Wavelet Packet Energy Relative Entropy" @default.
- W2387945426 hasPublicationYear "2014" @default.
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