摘要
由于传统的故障诊断方法在机械设备整体故障诊断中难以有效发挥作用,通过把模糊数学和神经网络理论应用到故障诊断中,构建了一具有联想记忆功能的模糊神经网络。并结合190A型柴油机的故障诊断,验证了算法的有效性。
Because the traditional fault diagnostic methods effectively play the role with difficulty in the machinery equipment overall fault diagnosis, this paper applied the fuzzy mathematics and the neural net work theory to the fault diagnosis, constructed the fuzzy neural network with the function of association and memory.. Through to the 190A diesel engine fault diagnosis, the algorithm validity was confirmed.
出处
《汽车科技》
2007年第6期52-54,共3页
Auto Sci-Tech
关键词
故障诊断
模糊联想记忆
柴油机
fault diagnosis
fuzzy associative memories
diesel engine