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Intelligent Fault Diagnostic System of Induction Motor

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

Early fault diagnosis can increase machinery availability and performance, reduce consequential damage, prolong machine life, and reduce spare parts inventories and breakdown maintenance. In this book, one intelligent fault diagnostic system is proposed based on feature extraction and selection techniques. Features are calculated from many domains: time domain, frequency domain, cepstrum domain and wavelet domain. In this way, the information of raw data is kept at best to meet different analysis methods in future. Principal component analysis and linear discriminant analysis, two feature extraction methods are introduced. Feature selection methods, individual feature evaluation and genetic algorithm, are compared. They are used to reduce feature dimensionality and improve system performance. The proposed system is applied to fault diagnosis of induction motors as a real application. The results show that the proposed system, combining feature extraction with feature selection, has fast training procedure, high classification rate and compact structure. It is suitable for motor condition monitoring and fault diagnosis.

Product Specifications
SKU :COC62450
AuthorTian Han
LanguageEnglish
BindingPaperback
Number of Pages256
Publishing Year02.07.2014
ISBN9783659514623
Edition1 st
Book TypeProduction engineering
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-08-05 00:00:00
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