摘要
总结了目前应用较为广泛的城市轨道交通车辆转向架故障诊断方法,包括支持向量机、故障识别搜索、BP神经网络、专家系统、隐马尔可夫模型、Adaboost等算法。介绍了不同算法的应用现状,分析了不同算法的优势与不足。最后根据当前转向架故障诊断特点和难点,提出了该领域未来研究方向与发展趋势。
The widely used methods of fault diagnosis for including support vector machine, fault identification search, model, Adaboost, etc. The application of different algorithms different algorithms are also analyzed. Finally, the future according to the characteristics of bogie fault diagnosis. urban rail transit vehicle bogie are summarized, BP neural network, expert system, hidden Markov are introduced. The advantages and disadvantages of research and development trends are put forward
出处
《装备制造技术》
2015年第12期81-85,共5页
Equipment Manufacturing Technology
基金
广西科技攻关项目(桂科攻1598009-6)
南宁市科技攻关项目(20151018)
关键词
转向架
故障诊断
应用现状
发展趋势
bogie
fault diagnosis
present application
development trend
