【摘要】 针对目前钢丝绳断丝检测定量识别中存在的问题,提出了基于BP神经网络的钢丝绳断丝损伤信号的模式识别方法.运用MATLAB工具箱建立了钢丝绳断丝损伤定量识别的BP网络模型,通过模拟和实际检测,断丝损伤识别的准确率达到86.9%,验证了网络的可靠性和实用性.更多还原

【Abstract】 To counter the exist problem in quantative test of broken wire for steel rope,a pattern recognition method of steel rope fault signal was put forward based on back-propagation network.A back-propagation network model for quantitative identification of steel rope fault signal was set up by using the toolbox of MATLAB.According to simulative and real detection,the veracity of boreken is 86.9%,its reliability and practicality were validated.更多还原