Identification of loosen bolt of transmission tower based on wavelet packet analysis and neural net

The method proposed in this paper identifies the loosen bolt of a transmission tower using the wavelet packet analysis and the neural net. First, the strain signal is measured. Second, the signal is decomposed by the wavelet packet (WP) analysis to extract the WP component energy, which is acted as...

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Hauptverfasser: Dongmei Tan, Weilian Qu, Jianwei Tu, Wenke Qin
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Weilian Qu
Jianwei Tu
Wenke Qin
description The method proposed in this paper identifies the loosen bolt of a transmission tower using the wavelet packet analysis and the neural net. First, the strain signal is measured. Second, the signal is decomposed by the wavelet packet (WP) analysis to extract the WP component energy, which is acted as the subset of the neural net. Finally, the loosen bolt is identified by the neural net. A three-level simple transmission tower is used as the experimental model, and the result show that the method can be effectively used to identify the loosen bolt of transmission tower.
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subjects Fasteners
Flanges
Neural net
Poles and towers
Strain
transmission tower
Wavelet analysis
wavelet packet transform
Wavelet packets
title Identification of loosen bolt of transmission tower based on wavelet packet analysis and neural net
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