摘要
为了较全面地获得设备的故障状态信息,增加故障诊断的可信度,考虑故障诊断过程中不同故障特征对特定故障的贡献率,提出了加权证据理论的多故障特征信息融合的故障诊断方法,建立了多故障特征信息融合诊断模型。经实验表明,该方法能有效提高故障诊断的准确性并且具有较好的实用性。
In order to obtain more comprehensive equipment fault state information and increase the credibility of the fault diagnosis, fauh diagnosis method of fauh feature information fusion based on weighted evidence theory was proposed by considering the contribution of special fault of different fault feature. A model of information fusion for fault features diagnosis is put forward. The results show：this method can effectively improve the accuracy of the fault diagnosis and has better practicability.
出处
《湖南工业职业技术学院学报》
2012年第5期1-3,共3页
Journal of Hunan Industry Polytechnic
基金
湖南省教育厅科学研究项目(项目编号:10C0115)
关键词
信息融合
加权证据
故障特征
融合诊断
information fusion
weighted evidence
fault features
fusion diagnosis
