Characterization of transients in transformers using discrete wavelet transforms Academic Article

abstract

• This paper presents the characterization of transients resulting from faults in transformers using discrete wavelet transform (DWT). This characterization will aid in the development of an automatic detection method for internal incipient faults in the transformers. The detection method can provide information to predict failures ahead of time so that the necessary corrective actions are taken to prevent outages and reduce down times. The analyzed data are obtained from simulations and experiments for different normal and abnormal operating cases such as external faults, internal short circuit faults, magnetizing inrush, and internal incipient faults. The simulation method and experiment setup are discussed. The experiments and simulations are conducted on a single-phase transformer as an example case. The results of applying the DWT are discussed.

authors

• Butler-Purry, Karen

published proceedings

• IEEE TRANSACTIONS ON POWER SYSTEMS

author list (cited authors)

• Butler-Purry, K. L., & Bagriyanik, M.

citation count

• 75

publication date

• May 2003

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Discrete Wavelet Transform
• Incipient Fault
• Transformer

Digital Object Identifier (DOI)

• 10.1109/TPWRS.2003.810979

start page

• 648

end page

• 656

volume

• 18

issue

• 2

URL

• http://dx.doi.org/10.1109/tpwrs.2003.810979