Title :
The Neural Network Appraisal Method of Transmission Tower Structure Damage by Using Time Domain Data
Author_Institution :
Sch. of Archit. Eng., Northeast Dianli Univ., Jilin, China
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;
Conference_Titel :
Energy and Environment Technology, 2009. ICEET '09. International Conference on
Conference_Location :
Guilin, Guangxi
Print_ISBN :
978-0-7695-3819-8
DOI :
10.1109/ICEET.2009.322
