将神经网络技术应用在汽车发动机的故障检测与诊断中已经成为了现阶段的发展趋势。本文围绕BP神经网络工作原理简介、样本数据的采集工作、神经网络的研发与设计、诊断结果总结与分析四大方面展开探讨,对基于神经网络的汽车发动机只能故障诊断进行了一个简单的研究。 The application of neural network technology in the fault detection and diagnosis of automobile engines has become the development trend at this stage. This paper focuses on the introduction of the working principle of BP neural network, the collection of sample data, the development and design of neural network, the summary and analysis of diagnostic results. The paper only makes a simple study on the fault diagnosis of automotive engine based on neural network .