Signal Processing Application in Fault Diagnosis of Three Phase Transformers

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1233

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DC Field	Value	Language
dc.contributor.author	Mohanty, K B	-
dc.contributor.author	Routray, A	-
dc.date.accessioned	2010-04-26T10:00:28Z	-
dc.date.available	2010-04-26T10:00:28Z	-
dc.date.issued	2009	-
dc.identifier.citation	IEEE India Council Conference, INDICON 2009; Ahmedabad; 18 December 2009 through 20 December 2009; Category number CFP09598; Code 79708, Article number 5409482	en
dc.identifier.uri	http://dx.doi.org/10.1109/INDCON.2009.5409482	-
dc.identifier.uri	http://hdl.handle.net/2080/1233	-
dc.description.abstract	Data acquisition and subsequent fault diagnosis of a three-phase transformer is presented in this paper. A PC with data acquisition card is used for the purpose of storing, monitoring and diagnosis. Spectral analysis algorithms based on FFT as well as Wavelet Transform are used to obtain the signature of currents under various normal and abnormal conditions. The Wavelet Transform is implemented to extract the features from the transient signals simultaneously both in time and frequency domain. Current signatures so obtained serve as input for classifying various faults.	en
dc.format.extent	304536 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	Condition monitoring,	en
dc.subject	Fault diagnosis,	en
dc.subject	Fourier Transform,	en
dc.subject	Discrete Wavelet Transform,	en
dc.subject	Switching inrush current	en
dc.title	Signal Processing Application in Fault Diagnosis of Three Phase Transformers	en
dc.type	Article	en
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