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

Content Provider	IEEE Xplore Digital Library
Author	Dongmei Tan Weilian Qu Jianwei Tu Wenke Qin
Copyright Year	2011
Description	Author affiliation: Hubei Key Laboratory of Roadway Bridge & Structure Engineering, Wuhan University of Technology, China (Dongmei Tan; Weilian Qu; Jianwei Tu; Wenke Qin)
Abstract	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.
Starting Page	6646
Ending Page	6649
File Size	235676
Page Count	4
File Format	PDF
ISBN	9781457702891
e-ISBN	9781457702907
DOI	10.1109/ICETCE.2011.5775756
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural net Poles and towers Wavelet packet transform Fasteners Flanges Transmission tower Wavelet analysis Wavelet packets Strain
Content Type	Text
Resource Type	Article

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