Title :
Safety evaluation research of hydraulic steel gate based on BP-neural network
Author :
Jianbin, Guo ; Yuanchang, Wen ; Jian, Xiao
Author_Institution :
Coll. of Water Conservancy & Hydropower Eng., Hohai Univ., Nanjing, China
Abstract :
Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications show that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation.
Keywords :
backpropagation; neural nets; structural engineering computing; BP neural network; backpropagation; hydraulic steel gate; normalized corrosion training data; Hydroelectric power generation; Inspection; Multi-layer neural network; Neural networks; Safety devices; Security; Standards development; Steel; Water conservation; Water resources;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5348021
