Paper Title :Robust Features For Load Independent Machine Fault Diagnosis Using Feature Selection
Author :Anandaraj G, Anupriyanka P, Aswin Krishnan, Sri Saravanan J B, Sumangala V, Gopinath R, Santhosh Kumar C
Article Citation :Anandaraj G ,Anupriyanka P ,Aswin Krishnan ,Sri Saravanan J B ,Sumangala V ,Gopinath R ,Santhosh Kumar C ,
(2014 ) " Robust Features For Load Independent Machine Fault Diagnosis Using Feature Selection " ,
International Journal of Mechanical and Production Engineering (IJMPE) ,
pp. 36-39,
Volume-2,Issue-9
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.
Type : Research paper
Published : Volume-2,Issue-9
DOIONLINE NO - IJMPE-IRAJ-DOIONLINE-1232
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Copyright: © Institute of Research and Journals
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Published on 2014-09-03 |
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