基于风机故障诊断的融合神经网络系统构建  

Construction of Fan Based on Neural Network Fault Diagnosis System Integration

作　　者：苏丽秋[1] 杨帅[1] 

机构地区：[1]鹤壁职业技术学院,河南鹤壁458030

出　　处：《煤矿机械》2014年第5期258-260,共3页Coal Mine Machinery

摘　　要：设计一种风机融合神经网络故障诊断系统,以实现对相关信息的有效处理,并促进其高层融合;将一系列诊断输出值最终传输给网络样本库,从而构建一款具有自适应能力且兼具智能特点的诊断系统,不仅保证了故障诊断的及时性,还保证了最终结论的准确性,为后续的维修处理奠定了坚实的基础。This design of a wind turbine neural network fault diagnosis system integration, to achieve effective handling of relevant information, and to promote the integration of its executives; A series of diagnostic output value of the final transmission to the network sample library, in order to build a selfand the ability to adapt to the characteristics of both intelligent diagnostic system, this way, not only to ensure the timeliness of fault diagnosis, but also to ensure the accuracy of the final conclusion, laying a solid foundation for the subsequent maintenance treatment.

关 键 词：风机故障诊断 信息融合 人工神经网络技术 

分 类 号：TD441[矿业工程—矿山机电]