Detection and magnitude determination of turn faults in induction motor by using of particle swarm optimization algorithm

Author

Rashtchi, Vahid

Author_Institution

Electr. Eng. Dept., Zanjan Univ., Zanjan, Iran

fYear

2009

fDate

6-9 May 2009

Firstpage

256

Lastpage

259

Abstract

This paper presents a novel scheme, for detection and magnitude determination of turn faults, based on parameter identification of a model in which the turn fault is considered. A particle swarm optimization (PSO) algorithm does parameter identification. Insensitivity of the technique to load variation, supply voltage variation, temperature variation and unbalanced supply voltage is shown by many experimental tests.

Keywords

fault diagnosis; induction motors; machine theory; parameter estimation; particle swarm optimisation; induction motor fault; load variation; parameter identification; particle swarm optimization algorithm; supply voltage variation; temperature variation; unbalanced supply voltage; Electrical fault detection; Equations; Fault detection; Induction motors; Mathematical model; Parameter estimation; Particle swarm optimization; Stators; Testing; Voltage; Induction motor; PSO; Turn to turn fault;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on

Conference_Location

Pattaya, Chonburi

Print_ISBN

978-1-4244-3387-2

Electronic_ISBN

978-1-4244-3388-9

Type

conf

DOI

10.1109/ECTICON.2009.5137004

Filename

5137004