神经网络在机械系统故障诊断中的应用

近年来，神经网络已成为当代人工智能研究领域的一个热点，工程界也表现了极大的热忱，期望它在解决一些长期以来用传统方法难以解决的问题方面能发挥突破性作用。本文较为详细地探讨了神经网络双向联想记忆法在机械系统故障诊断中的应用。研究表明，该法能大大提高故障诊断的智能水平和实时处理能力，为机械系统故障诊断开辟了一条新途经。

APPLICATION OF NEURAL NETWORKS TO FAULT DIAGNOSIS OF MECHANICAL SYSTEM

n recent years, the neural networks have been in the highlight in the current artificial intelligent research field. Its application is interested in engineering circles. It is expected that the neural networks could bake a breakthrough in the problems solyed difficultly with classical methods for long terms. This paper studies in details the application of the bidirectional associative memory method to the fault diagnosis of mechanical system.The research shows that the intelligent level and capacity of the real-time fault diagnosis will be enhanced greatly. It has carved a new field of the fault diagnosis of mechanical system.