Fault Diagnosis in Induction Motor Using Fuzzy Logic

被引：0

作者：

Shetgaonkar, Satej Santosh ^{[1
]}

机构：

[1] Goa Coll Engn, Dept Elect & Commun, Ponda, Goa, India

来源：

2017 INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC) | 2017年

关键词：

Induction motor; online monitoring; simulink; Fuzzy logic; SIMULATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Induction motors are generally utilized as electrical load in all sort of industry. These motors are sensitive to different kinds of faults. When one of this faults occur in the induction motor then the motor has to be stopped for maintenance schedule. The cost of this maintenance schedule can be expensive and hence it is necessary to improve fault diagnostic methods. In online condition monitoring involves in monitoring the condition of the motor during operation and detect the faults which will reduce unexpected maintenance costs. In this paper a simulink model of induction motor is developed using Fuzzy logic controller to analyze the performance for short circuit, open circuit, overvoltage.

引用

页码：289 / 293

页数：5

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