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基于模型诊断技术的神经网络实现方法

马纪明 万蔚 王法岩

马纪明, 万蔚, 王法岩等 . 基于模型诊断技术的神经网络实现方法[J]. 北京航空航天大学学报, 2013, 39(2): 178-183.
引用本文: 马纪明, 万蔚, 王法岩等 . 基于模型诊断技术的神经网络实现方法[J]. 北京航空航天大学学报, 2013, 39(2): 178-183.
Ma Jiming, Wan Wei, Wang Fayanet al. Realization of model-based fault diagnosis with artificial neural network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(2): 178-183. (in Chinese)
Citation: Ma Jiming, Wan Wei, Wang Fayanet al. Realization of model-based fault diagnosis with artificial neural network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(2): 178-183. (in Chinese)

基于模型诊断技术的神经网络实现方法

详细信息
  • 中图分类号: TP277

Realization of model-based fault diagnosis with artificial neural network

  • 摘要: 针对基于模型的故障诊断流程中故障检测和故障识别两个关键问题,提出了一种基于神经网络的实现方法.首先利用BP神经网络进行参数估计,并结合系统模型进行故障检测;然后采用ART2神经网络进行数据聚类,并基于聚类结果进行系统故障识别;最后,设计实现了基于BP/ART2神经网络的故障诊断系统.基于BP神经网络的参数估计方法可以准确地估计诊断对象在不同状态下的参数,为故障检测提供有效依据;基于ART2神经网络的数据聚类不仅可以识别对象的已知故障类型,还可以识别出未知故障,对先验信息较少的系统进行故障识别更具有效性.通过永磁直流电机故障诊断案例的应用,证明方法能具有一定的工程实用性.

     

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出版历程
  • 收稿日期:  2012-02-13
  • 网络出版日期:  2013-02-28

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