Reliable fault classification of induction motors using texture feature extraction and a multiclass support vector machine

Reliable fault classification of induction motors using texture feature extraction and a multiclass support vector machine

This article was published in the Mathematical Problems in Engineering [© 2014 Jia Uddin et al.] and the definite version is available at :http://dx.doi.org/10.1155/2014/814593 The Journal's website is at: https://www.hindawi.com/journals/mpe/2014/814593/

Podrobná bibliografie
Hlavní autoři: Uddin, Jia, Kang, Myeongsu, Dish, V. Nguyen, Kim, Jong-Myon
Další autoři: Department of Computer Science and Engineering, BRAC University
Médium: Článek
Jazyk:English
Vydáno: © 2014 Hindawi Publishing Corporation 2016
Témata:
Induction motors
Principal component analysis
Radial basis function networks
Systems analysis
extures Classification performance
On-line přístup:http://hdl.handle.net/10361/7012
http://dx.doi.org/10.1155/2014/814593
Popis
Shrnutí:This article was published in the Mathematical Problems in Engineering [© 2014 Jia Uddin et al.] and the definite version is available at :http://dx.doi.org/10.1155/2014/814593 The Journal's website is at: https://www.hindawi.com/journals/mpe/2014/814593/

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