Abstract: This paper combines the two kinds of intelligent means of the information fusion and the Neural Network，and simulates the fault diagnosis to the parts of locomotive with Matlab 7.0 using integrate neural network knowledge.It can solve the information problems such as inadequacy and uncertainty，describe the measured objects more accurately and comprehensively，realize the differential diagnosis to equipment fault and make the final decision.

摘要： 将信息融和技术和人工神经网络两种智能化手段结合起来，结合集成神经网络的知识，利用Matlab 7.0实现了对内燃机车故障诊断仿真。克服了信息的不完备性和不确定性，更加准确全面地描述了被测对象，实现设备故障的分类诊断和最终决策。