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模糊神经专家系统在风机实时故障诊断中的应用
引用本文:刘晓波,林家国,王依. 模糊神经专家系统在风机实时故障诊断中的应用[J]. 机床与液压, 2007, 35(7): 245-247
作者姓名:刘晓波  林家国  王依
作者单位:江西理工大学机电工程学院,江西赣州341000
基金项目:江西省自然科学基金 , 江西省科技厅科技攻关项目
摘    要:实时性和准确性在风机实时状态监测与故障诊断中起着决定性的作用.本文综合运用模糊处理、神经网络和专家系统等先进的诊断方法及信号处理技术,采用故障定性--原因确定--处理方案等过程,提出了一种新型的模糊神经专家状态监测与故障诊断方法,并采用先进的Visual C 语言及模块式设计,为提高故障诊断准确性和实时性提供可靠保证.

关 键 词:模糊神经  专家系统  状态监测  故障诊断  模糊神经  神经专家系统  风机  实时故障诊断  应用  Fault Diagnosis  Expert System  Neural  Fuzzy  可靠保证  诊断准确性  模块式设计  语言  Visual  状态监测与故障诊断  过程  处理方案  处理技术  信号  诊断方法
文章编号:1001-3881(2007)7-245-3
修稿时间:2006-09-27

Application of Fuzzy Neural Expert System on Real-time Fault Diagnosis of Blower
LIU Xiaobo,LIN Jiaguo,WANG Yi. Application of Fuzzy Neural Expert System on Real-time Fault Diagnosis of Blower[J]. Machine Tool & Hydraulics, 2007, 35(7): 245-247
Authors:LIU Xiaobo  LIN Jiaguo  WANG Yi
Affiliation:Faculty of Mechanical and Electronic Engineering, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000, China
Abstract:Real-time and accuracy are given a decisive position for state monitoring and fault diagnosis of blower.A new means of state monitoring and fault diagnosis of fuzzy neural expert was presented by comprehensively applying the advanced diagnosis means and signal processing technic such as fuzzy disposing,neural net and expert system.Advanced Visual C++ language and module design were adopted,which meets the require of the accuracy and real-time of fault diagnosis.
Keywords:Fuzzy neural   Expert system   State monitoring   Fault diagnosis
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