基于新型机器学习的电子装备系统智能故障诊断研究

Electronic Equipment Systems Intelligent Fault Diagnosis Based on New Machine Learning Approach

支持向量机是一种基于结构风险最小原则的新型机器学习方法,具有完备的理论依据和良好的学习泛化能力。该文针对电子装备系统特征,采用支持向量机算法构建智能故障诊断模型,并对典型电子设备进行故障诊断。结果表明,该诊断模型是可行的、有效的,具有一定工程应用价值。

Support vector machines is a new statistical learning method based on structural risk minimization principle,and it has integrated theory and valid learning generalization ability.This paper presents a new electronic equipment sys-tems intelligent fault diagnosis mode based on support vector machines.And then uses it to diagnose for typical equip-ment.The results show that the diagnosis mode is valid and rational.And also it improves the accuracy of fault diagnosis comparing to traditional methods and has great engineering application value.