【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。更多还原

【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.更多还原