基于人工神经网络技术的发动机故障诊断系统

Engine Fault Diagnosis System Based on Artificial Neural Networks

介绍了人工神经网络技术的基本概念、BP(ErrorBackPropagation)网络的基本结构、原理及其学习算法。分析了基于传统的专家系统理论的汽车故障诊断系统在知识获取、知识表达、及推理能力等方面的缺陷 ,提出了采用人工神经网络技术来解决发动机故障诊断问题的设想。研制开发了一套故障诊断装置。

The basis of artificial neural network technology and BP network structure and its algorithms were introduced in this paper. Deficiency on possession and expression of knowledge, inference abilities etc. of the engine fault diagnosis system based on the traditional expert system were analyzed. It is assumed that the artificial neural network can be employed to solve fault diagnosis of engine. So a set of engine fault diagnosis device was designed and proposed in this paper.