摘要
介绍了一种应用于故障诊断的基于T S模糊模型的自适应模糊神经网络 ,给出了网络的连接结构和学习算法以及传感器故障在线诊断原理。仿真结果表明 ,该方法具有收敛速度快 ,诊断精度高 ,泛化能力强的特点 ,而且可以诊断系统多种工作过程传感器的在线故障。
A self-adaptive fuzzy neural network based on T-S fuzzy model is introduced. It is applicable for fault diagnostics. The connection structure of network, learning algorithm and the principle of online diagnosis for transducer are given. The result of simulation shows that the method features fast speed, high accuracy, and generalized capability. In addition, the method is able to implement online fault diagnosis for multiple transducers operated in system. Key words Transducer Fault diagnostics Fuzzy neural network Online learning
出处
《自动化仪表》
CAS
北大核心
2003年第11期16-19,共4页
Process Automation Instrumentation
