The Neural Network Appraisal Method of Transmission Tower Structure Damage by Using Time Domain Data

Author

Zhu, He

Author_Institution

Sch. of Archit. Eng., Northeast Dianli Univ., Jilin, China

Volume

2

fYear

2009

fDate

16-18 Oct. 2009

Firstpage

344

Lastpage

347

Abstract

The transmission tower structure damage examination is important safeguard method of power line, this article analyzed the structure damage method based on ARMA model. The warning processing step of tower structure damage was given based on neural network analysis method in this paper, thus the structure damage might be appraised effectively. The 500 KV transmission tower structure damage appraisal example indicated, the damage appraisal method in this article is sensitivity to the structure damage, which has the real-time online damage early warning application value.

Keywords

autoregressive moving average processes; condition monitoring; neural nets; poles and towers; structural engineering; time-domain analysis; autoregressive moving average processes; damage appraisal; neural network; time domain data; transmission tower structure damage examination; voltage 500 kV; Appraisal; Databases; Difference equations; Differential equations; Injuries; Neural networks; Poles and towers; Power engineering and energy; Testing; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy and Environment Technology, 2009. ICEET '09. International Conference on

Conference_Location

Guilin, Guangxi

Print_ISBN

978-0-7695-3819-8

Type

conf

DOI

10.1109/ICEET.2009.322

Filename

5362963