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。
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.lt 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.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第35期236-239,共4页
Computer Engineering and Applications
关键词
信息融和技术
神经网络
内燃机车
故障诊断
information fusion
Neural Network
diesel locomotive
fault diagnosis
