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基于改进ENN2聚类算法的多故障诊断方法

DOI: 10.13195/j.kzyjc.2014.0607, PP. 1021-1026

Keywords: 多故障诊断,可拓神经网络,改进ENN2,聚类算法,状态监控

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Abstract:

针对可拓神经网络无法解决多故障诊断的问题,建立问题模型,将多故障诊断问题转化为多特征样本的聚类问题.从模型结构和学习算法两个方面对ENN2进行改进,提出基于改进ENN2聚类算法的多故障诊断方法,并对其参数和时间复杂度进行分析.采用工程实例对所提出的方法进行验证,结果表明,所提出的方法能够解决离线的多故障诊断问题,且得到的诊断模型可用于在线状态监控,具有较好的应用前景.

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