In this paper an optimized pole shape is presented to

reduce acoustic noise of switched reluctance motor (SRM). The

optimization is based on the genetic algorithm and by

considering both ...

Diagnostics of synchronous generator turn-to-turn faults can be accomplished by analyzing the anomalies of machine local variable such as magnetic flux linkage. On the other hand, because current transformers and voltage ...

This paper presents an artificial neural network approach for locating internal faults in salient-pole synchronous

generator. This method uses samples of magnetic flux linkages to reach a decision. Meyer ...

امروزه، به دلیل کاربرد روزافزون ماشینهای القایی، بررسی

و تحلیل عملکرد آنها تحت شرایط مختلف اهمیت ویژه ای

دارد چرا که با دانستن رفتار دقیق ماشینها تحت هر شرایط

خاص می توان از بروز هرگونه حادثه و صدمه ...

This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, ...

Abstract: A reliable and accurate diagnosis of inter-turn short circuit faults is a challenging

issue in the area of fault diagnosis of electrical machines. The purpose of this study is to

present a more ...

Synchronous generator Loss of Excitation

(LOE) if dose not detected rapidly; not only

has a harmful affect on the generator, but also

has a devastating impact on power system

stability. This ...

This contribution deals with the analysis of synchronous generator loss of excitation (LOE) protection. This paper presents a new method for detecting LOE in synchronous generator based on the variation of the magnetic flux ...

This contribution deals with the analysis of synchronous generator loss of excitation (LOE) protection. This paper presents a new method for detecting LOE in synchronous generator based on the variation of the magneticflux ...