风机故障诊断的集成神经网络信息融合法  

Integrated Neural Net Information Merging Method of Fan Trouble Diagnosis

作　　者：王毅[1] 

机构地区：[1]沈阳工业大学建筑工程学院,沈阳市110023

出　　处：《风机技术》2005年第2期35-37,共3页Chinese Journal of Turbomachinery

摘　　要：从故障诊断的实际出发,根据设备提供的信息的多样性及故障表征形势的复杂性,利用信息融合技术,提出了集成神经网络故障诊断方法。研究了神经网络的建模方法,阐述了信息融合的优点。对某企业大型风机故障进行了诊断,诊断结果与实际相符。Proceeding from actual trouble diagnosis, according to the informative diversity provided by equipment and complexity of trouble characteristic form, using information merging technique, the trouble diagnosis method of integrated neural net is put forward. The modeling method of neural net is studied, the advantage of information merge is set forth. Trouble diagnosis is carried out on large fan in a certain enterprise, the diagnostic result correspond to the reality.

关 键 词：网络信息 融合法 信息融合技术 故障诊断方法 集成神经网络 建模方法 大型风机 复杂性 多样性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] G250.73[自动化与计算机技术—计算机科学与技术]