上海交通大学学报(自然版) ›› 2015, Vol. 49 ›› Issue (03): 402-405.
聂冰a,赵慧敏a,丁鸣艳b,李文a
收稿日期:
2014-07-03
出版日期:
2015-03-30
发布日期:
2015-03-30
基金资助:
国家高技术研究发展计划(863)项目(2012AA040912),辽宁省教育厅高等学校科研计划项目(L2011077,
NIE Binga,ZHAO Huimina,DING Mingyanb,LI Wena
Received:
2014-07-03
Online:
2015-03-30
Published:
2015-03-30
摘要:
摘要: 针对电动机典型的故障诊断模型网络结构复杂、训练困难等问题,提出一种组态式牵引电动机故障诊断模型.该模型由多个多输入单输出的子径向基函数神经网络构成,每个子模型识别一种故障特征.根据系统需要将多个子模型任意组合,用来识别类型繁多的电动机故障.利用特征提取后的样本数据对该模型进行训练,并通过测试样本验证了故障诊断模型的有效性.结果表明,采用组态式牵引电动机故障诊断模型,一个子模型仅识别一种牵引电动机故障状态,结构简单,模型训练难度小,提高了模型的故障识别能力以及应用的灵活性,为牵引电动机故障诊断提供了一条新思路.
中图分类号:
聂冰a,赵慧敏a,丁鸣艳b,李文a. 组态式牵引电动机故障诊断模型[J]. 上海交通大学学报(自然版), 2015, 49(03): 402-405.
NIE Binga,ZHAO Huimina,DING Mingyanb,LI Wena. Configurable Fault Diagnosis Model in Induction Motor[J]. Journal of Shanghai Jiaotong University, 2015, 49(03): 402-405.
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