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
Condition monitoring in industry is desirable for increasing machinery availability, reducing conseq...
© 2015 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for a...
Induction machines play a pivotal role in industry and there is a strong demand for their reliable a...
This paper investigates diagnostic techniques for electrical machines with special reference to indu...
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...
This paper presents a review of the most recent developments in the field of diagnosis of electrical...
This review paper looks briefly at conventional approaches and examines the intelligent means for fa...
This paper investigates diagnostic techniques for electrical machines with special reference to roto...
Despite the complex mathematical models and physical phenomena on which it is based, the simplicity ...
Accurate detection and prediction of failures of line-operated three-phase induction motors is extre...
Condition monitoring of electric machines is a procedure of increasing importance, as fault tolerant...
Various applications of artificial intelligence (AI) techniques (expert systems, neural networks, an...
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...
Condition monitoring in industry is desirable for increasing machinery availability, reducing conseq...
© 2015 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for a...
Induction machines play a pivotal role in industry and there is a strong demand for their reliable a...
This paper investigates diagnostic techniques for electrical machines with special reference to indu...
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...
This paper presents a review of the most recent developments in the field of diagnosis of electrical...
This review paper looks briefly at conventional approaches and examines the intelligent means for fa...
This paper investigates diagnostic techniques for electrical machines with special reference to roto...
Despite the complex mathematical models and physical phenomena on which it is based, the simplicity ...
Accurate detection and prediction of failures of line-operated three-phase induction motors is extre...
Condition monitoring of electric machines is a procedure of increasing importance, as fault tolerant...
Various applications of artificial intelligence (AI) techniques (expert systems, neural networks, an...
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...
Condition monitoring in industry is desirable for increasing machinery availability, reducing conseq...
© 2015 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for a...
Induction machines play a pivotal role in industry and there is a strong demand for their reliable a...