Title :
Detection and magnitude determination of turn faults in induction motor by using of particle swarm optimization algorithm
Author_Institution :
Electr. Eng. Dept., Zanjan Univ., Zanjan, Iran
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;
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
DOI :
10.1109/ECTICON.2009.5137004
