摘要
目前钢丝绳断丝定量检测中存在效率低、可靠性差的问题。基于BP神经网络的智能化钢丝绳断丝检测系统,利用虚拟仪器技术,可方便地实现对钢丝绳的数据采集、实时分析,实现了对钢丝绳断丝检测的综合判断。运用MATLAB神经网络工具箱进行模拟检测,结果表明:网络仿真与实际相符,准确判断率为81.82%。该系统用于钢丝绳断丝识别可行。
To remove the lower productive and less reliability related to measuring broken wire for steel rope, this paper introduces an intelligent system for measuring the broken wire for steel rope, which is based on the BP neural network. The paper features the comprehensive judgment of measurement of broken wires for steel ropes accomplished by using the technology of Ⅵ, which is convenient for date collection, coupled with BP neural network for effective analysis of the real-time date collected. The use of BP neural network set up by the toolbox of MATLAB proves an accuracy of 81.82% and feasibility to distinguishing broken wire for steel rope.
出处
《黑龙江科技学院学报》
CAS
2007年第5期347-350,共4页
Journal of Heilongjiang Institute of Science and Technology
