基于粗糙集与支持向量机的电动机转子断条故障诊断

提出了一种基于粗糙集与支持向量机的电动机转子断条故障诊断方法。首先将电动机在不同故障状态下的振动信号离散化,再应用粗糙集软件rosetta对数据进行进一步的约简,得到约简后的数据应用于支持向量机的训练从而得到基于支持向量机的多分类器。实验证明:该方法检测电动机的转子断条故障是可行的。

A Diagnosis System of Motor Based on Rough Sets and Support Vector Machines

Considering the ability of rough sets theory on reduction of decision system and that of support vector machines for classification,a diagnosis system of fault diagnosis of the rotor broken bars of IM based on rough sets and support vector machines is proposed.Firstly,the continuous attributes data in diagnostic decision system are discretized.Then,reducts are found based on rough sets theory,and the key conditions for diagnosis are determined.Lastly,according to the chosen reduct,the multi-class support vector machines are designed for fault diagnosis.The diagnosis of a rotor demonstrates that the system can reduce the cost of diagnosis greatly.And it verifies the feasibility of the engineering application.