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.
| Original language | English |
|---|---|
| Pages (from-to) | 648-656 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - May 2003 |
Funding
Manuscript received July 19, 2002. This work was supported in part by the Texas Advanced Technology Program under Grant 000512-0311-1999. K. L Butler-Purry is with Texas A&M University, Department of Electrical Engineering, College Station, TX 77843-3128 USA (e-mail: [email protected]). M. Bagriyanik is with Istanbul Technical University, Department of Electrical Engineering, Istanbul, 80626, Turkey (e-mail: [email protected]). Digital Object Identifier 10.1109/TPWRS.2003.810979
| Funders | Funder number |
|---|---|
| Texas Advanced Technology Program | 000512-0311-1999 |
Keywords
- Discrete wavelet transform
- Incipient fault
- Transformer