Corrosion evaluation of tank floor based on acoustic emission detection based on GA-BP network
- Resource Type
- article
- Authors
- Liu Qihua; Zhang Shijie
- Source
- Dianzi Jishu Yingyong, Vol 46, Iss 1, Pp 76-80 (2020)
- Subject
- tank corrosion
acoustic emission detection
bp neural network
genetic algorithm
Electronics
TK7800-8360
- Language
- Chinese
- ISSN
- 0258-7998
Acoustic emission on-line detection method was used to obtain the acoustic emission information of the tank bottom. Combined with the parameters of the tank itself, a genetic algorithm(GA) and BP neural network were combined to establish a model to evaluate the corrosion of the tank. BP neural network evaluation model and GA-BP network evaluation model were established respectively, and the results of the two models were compared. The results show that the GA-BP corrosion evaluation model of the tank bottom has better adaptability and higher prediction accuracy than the BP neural network evaluation model alone. The experiment has reference value for the on-line detection of atmospheric tank corrosion, and provides support for China′s independent research and development of acoustic emission detection system of atmospheric pressure metal storage tanks.