Fault Classification on Transmission Lines Using KNN-DTW

Author:

Costa Bruno G.,Freire Jean Carlos Arouche,Cavalcante Hamilton S.,Homci Marcia,Castro Adriana R. G.,Viegas Raimundo,Meiguins Bianchi S.,Morais Jefferson M.

Publisher

Springer International Publishing

Reference17 articles.

1. Yadav, A., Dash, Y.: An overview of transmission line protection by artificial neural network: fault detection, fault classification, fault location, and fault direction discrimination. Adv. Artif. Neural Syst. 2014, 20 (2014). Article ID 230382, Hindawi Publishing Corporation

2. Fontes, C.: Pattern recognition in multivariate time series - a case study applied to fault detection in a gas turbine. Eng. Appl. Artif. Intell. 49, 10–18 (2015)

3. Pereira, S., Moreto, M.: A wavelet based tool to assist the automated analysis of waveform disturbances records in power generators. IEEE Lat. Am. Trans. 14(8), 3621–3629 (2016)

4. Patel, V., Chistian, A.: Wavelet transform application to fault classification. Indian J. Appl. Res. 5(2) (2015). ISSN: 2249-555X

5. Shaik, A., Pulipaka, R.: A new wavelet based fault detection, classification and location in transmission lines. Electr. Power Energy Syst. 64, 35–40 (2014)

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