This paper investigates diagnostic techniques for electrical machines with special reference to induction machines and to papers published in the last ten years. A comprehensive list of references is reported and examined, and research activities classified into four main topics: 1) electrical faults; 2) mechanical faults; 3) signal processing for analysis and monitoring; and 4) artificial intelligence and decision-making techniques
Accurate detection and prediction of failures of line-operated three-phase induction motors is extre...
Induction machines play a pivotal role in industry and there is a strong demand for their reliable a...
Various applications of artificial intelligence (AI) techniques (expert systems, neural networks, an...
This paper investigates diagnostic techniques for electrical machines with special reference to indu...
This paper investigates diagnostic techniques for electrical machines with special reference to roto...
Induction motors are widely used in transportation, mining, petrochemical, manufacturing and in almo...
Induction motors are widely used in transportation, mining, petrochemical, manufacturing and in almo...
Despite the complex mathematical models and physical phenomena on which it is based, the simplicity ...
This review paper looks briefly at conventional approaches and examines the intelligent means for fa...
Condition monitoring in industry is desirable for increasing machinery availability, reducing conseq...
Fault diagnosis of rotating electrical machines has received an intense research interest for the la...
Abstract: Now a days the use of Condition Monitoring of electrical machines are increasing due to it...
© 2015 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for a...
Condition monitoring of electric machines is a procedure of increasing importance, as fault tolerant...
This paper presents a review of the most recent developments in the field of diagnosis of electrical...
Accurate detection and prediction of failures of line-operated three-phase induction motors is extre...
Induction machines play a pivotal role in industry and there is a strong demand for their reliable a...
Various applications of artificial intelligence (AI) techniques (expert systems, neural networks, an...
This paper investigates diagnostic techniques for electrical machines with special reference to indu...
This paper investigates diagnostic techniques for electrical machines with special reference to roto...
Induction motors are widely used in transportation, mining, petrochemical, manufacturing and in almo...
Induction motors are widely used in transportation, mining, petrochemical, manufacturing and in almo...
Despite the complex mathematical models and physical phenomena on which it is based, the simplicity ...
This review paper looks briefly at conventional approaches and examines the intelligent means for fa...
Condition monitoring in industry is desirable for increasing machinery availability, reducing conseq...
Fault diagnosis of rotating electrical machines has received an intense research interest for the la...
Abstract: Now a days the use of Condition Monitoring of electrical machines are increasing due to it...
© 2015 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for a...
Condition monitoring of electric machines is a procedure of increasing importance, as fault tolerant...
This paper presents a review of the most recent developments in the field of diagnosis of electrical...
Accurate detection and prediction of failures of line-operated three-phase induction motors is extre...
Induction machines play a pivotal role in industry and there is a strong demand for their reliable a...
Various applications of artificial intelligence (AI) techniques (expert systems, neural networks, an...