基于BP神经网络的通用门式起重机金属结构安全评价

华电技术 ›› 2014, Vol. 36 ›› Issue (3): 24-28.

基于BP神经网络的通用门式起重机金属结构安全评价

(郑州科润机电工程有限公司，郑州〓450015)

出版日期:2014-03-25

Safety assessment of metal structure of general gantry crane based on BP neural network

(Zhengzhou Kerun Mechanical & Electronic Engineering Corporation Limited, Zhengzhou 450015, China)

Published:2014-03-25

摘要/Abstract

摘要： 摘要：为适应门式起重机金属结构安全评价的需求，在BP神经网络对动态系统适应性和不完全可知性的基础上，构建了通用门式起重机金属结构安全评价模型，提出了便于统计和赋值的结构安全评价指标体系。运用Matlab7.0软件编制的程序对网络进行训练，通过对检测样本的训练，验证了门式起重机评价模型的可行性，为通用门式起重机金属结构的安全评价提供了评价依据和方法。

关键词: 关键词：BP神经网络, 通用门式起重机, 金属结构, 安全评价

Abstract: Abstract:In order to meet the requirements of safety assessment of gantry crane metal structure, based on the suitability of BP neural network for dynamic system and the incomplete knowable of the assessment factors, a safety assessment model of metal structure of general gantry crane was established. A structure safety assessment index system was recommended, which is convenient for statistics and assignment. A procedure was programmed by software Matlab 7.0, and the procedure was used to train the neural network. Through the training of detection sample, the feasibility of the gantry crane evaluation model was verified. The result in this paper provides evaluation basis and method for safety assessment of general gantry crane metal structure.

Key words: Keywords:BP neural network, gantry crane for general use, metal structure, safety assessment

张骞，李太周，姚俊威，赵小伟. 基于BP神经网络的通用门式起重机金属结构安全评价[J]. 华电技术, 2014, 36(3): 24-28.

ZHANG Qian, LI Taizhou, YAO Junwei, ZHAO Xiaowei . Safety assessment of metal structure of general gantry crane based on BP neural network[J]. Huadian Technology, 2014, 36(3): 24-28.

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