DOIONLINE

DOIONLINE NO - IJMPE-IRAJ-DOIONLNE-1232

Publish In
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE
Journal Home
Volume Issue
Issue
Volume-2,Issue-9  ( Sep, 2014 )
Paper Title
Robust Features For Load Independent Machine Fault Diagnosis Using Feature Selection
Author Name
Anandaraj G, Anupriyanka P, Aswin Krishnan, Sri Saravanan J B, Sumangala V, Gopinath R, Santhosh Kumar C
Affilition
Machine Intelligence Research Laboratory, Department of Electronics and Communication Engineering Amrita School of Engineering, Coimbatore
Pages
36-39
Abstract
Machine Fault Diagnosis (MFD) is of vital importance in aerospace applications that consist of complex systems. In this paper, load independent MFD on a three phase 3kVA synchronous generator has been described. Statistical features were extracted in both time and frequency domains. Chi squared algorithm was used for feature selection and classification was done using C4.5 algorithm. Voltage and current analyses were performed in both domains, and a set of robust features were identified.
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