模糊神经专家系统在风机实时状态监测与故障诊断中的应用

Application of Blur Neural and Expert System in the State of Real-time Monitor and Fault Diagnosis of Blower

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.综合运用模糊处理、小波分析、神经网络和专家系统等先进的诊断方法及信号处理技术,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了可靠保证.

Real - time and accuracy have a decisive function among state monitor and fault diagnosis of Blower. In this paper by comprehensively handled advanced diagnosis means and signal processing technique such as blur dispose, neural net and expert system, a new means of state monitor and fault diagnosis of blur neural expert is presented. Advanced Visual C ＋ ＋ Language and module design are adopted. Reliable guaranty＇is provided to improve accuracy and real - time of fault diagnosis.