起重运输机械Issue(12)：92-94,3.
基于LM-BP神经网络的 起重机制动器故障识别系统研究
摘要
Abstract
The paper deals with the fault type of hydraulic disc brake. An improved LM algorithm based BP neural network is taken as system framework, and fault data of brake is used for network training. Finally, the trained network is used to identify why test sample fails. The result agrees with the practice, showing that LM-BP neural network is fast and effective in identifying brake fault.关键词
门式起重机/盘式制动器/BP神经网络/LM算法/故障诊断Key words
portal crane/disc brake/BP neural network/LM algorithm/fault diagnosis分类
机械制造引用本文复制引用
何常远,马润梅,丁克勤..基于LM-BP神经网络的 起重机制动器故障识别系统研究[J].起重运输机械,2017,(12):92-94,3.基金项目
国家高技术研究发展计划(863计划,2015AA043702) （863计划,2015AA043702）
