Abstract
This paper proposes the combination of discrete wavelet transform (DWT) and fuzzy logic to classify the fault type in underground distribution cable. The DWT is employed to decompose high frequency component from fault signal with the mother wavelet daubechies4 (db4). The maximum coefficients detail of DWT from phase A, B, C and zero sequence for post-fault current waveforms are considered as an input pattern of decision algorithm. Triangle-shaped S-shaped and Z-shaped membership function with maximum, medium, minimum, and zero are used to create a function for the input variable. Output variable of fuzzy are designated as values range 1 to 10 which corresponding with type of fault. The obtained average accuracy results shown that the proposed decision algorithm is able to classify the fault type with satisfactory accuracy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sharafi, A., Sanaye-Pasand, M., Jafarian, P.: Ultra-high-speed protection of parallel transmission lines using current travelling waves. IET Gener. Transm. Distrib. 5(6), 656–666 (2011)
Makming, P., Bunjongjit, S., Kunakorn, A., Jiriwibhakorn, S., Kando, M.: Fault diagnosis in transmission lines using wavelet transforms. In: Proceedings of the IEEE Transmission and Distribution Conference, Yokohama, Japan, pp. 2246–2250 (2002)
Perez, F.E., Orduna, E., Guidi, G.: Adaptive wavelets applied to fault classification on transmission lines. IET Gener. Transm. Distrib. 5(7), 694–702 (2011)
Yusuff, A.A., Jimoh, A.A., Munda, J.L.: Determinant-based feature extraction for fault detection and classification for power transmission lines. IET Gener. Transm. Distrib. 5(12), 1259–1267 (2011)
Sidhu, T.S., Xu, Z.: Detection of incipient faults in distribution underground cables. IEEE Trans. Power Deliv. 25(3), 1363–1371 (2010)
El Din, E.S.T., Gilany, M., Aziz, M.M.A., Ibrahim, D.K.: A wavelet based fault location technique for aged power cables. IEEE Power Eng. Soc. 3, 2485–2491 (2005)
Han, J., Kim, W.-K., Lee, J.-W., Kim, C.-H.: Fault type classification in transmission line using STFT. In: Proceedings of the 11th International Conference on Developments in Power Systems Protection, pp. 1–5 (2012)
Apisit, C., Ngaopitakkul, A.: Identification of fault types for underground cable using discrete wavelet transform. In: Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, Hongkong, pp. 1262–1266 (2010)
Pandey, A., Younan, N.: Wavelet as a diagnostic tool for fault classification and identification in underground power cable. In: Proceedings of the Annual Report Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), pp. 76–79 (2011)
Ngaopitakkul, A., Pothisarn, C.: Discrete Wavelet transform and back-propagation neural networks algorithm for fault location on single-circuit transmission line. In: Proceedings of the International Conference on Robotics and Biomimetics (ROBIO2008), pp. 1613–1618 (2008)
Ke, W., Weirong, C., Qi, L.: Power system fault identification method based on multi-wavelet packet and artificial neural network. In: Proceedings of the International Conference on Intelligent Systems Design and Engineering Application (ISDEA), pp. 1457–1462 (2012)
Dubey, H.C., Tiwari, A.K., Ray, P.K., Mohanty, S.R., Kishor, N.: A novel fault classification scheme based on least square SVM. In: Proceedings of the Students Conference on Engineering and Systems (SCES), pp. 1–5 (2012)
Seyedtabaii, S.: Improvement in the performance of neural network based power transmission line fault classifiers. IET Gener. Transm. Distrib. 6(8), 731–737 (2012)
Livani, H., Evrenosoglu, C.Y.: A fault classification method in power systems using DWT and SVM classifer. In: Proceedings of the IEEE PES Transmission and Distribution Conference and Exposition (T&D), pp. 1–5 (2012)
Chen, J., Aggarwal, R.K.: A new approach to EHV transmission line fault classification and fault detection based on the wavelet transform and artificial intelligence. In: Proceedings of the IEEE Power and Energy Society General Meeting, pp. 1–8 (2012)
Lout, K., Aggarwal, R.K.: A feedforward artificial neural network approach to fault classification and location on a 132 kV transmission line using current signals only. In: Proceedings of the 47th International Universities Power Engineering Conference (UPEC), pp. 1–6 (2012)
Jafarian, P., Sanaye-Pasand, M.: High-frequency transients-based protection of multiterminal transmission lines using the SVM technique. IEEE Trans. Power Deliv. 28(1), 188–196 (2013)
Ferrero, A., Sangiovanni, S., Zappitelli, E.: A Fuzzy-set approach to fault-type identification in digital relaying. IEEE Trans. Power Deliv. 10(1), 169–175 (1995)
Nguyen, T., Liao, Y.: Transmission line fault type classification based on novel features and neuro-fuzzy system. Electr. Power Compon. Syst. 38(6), 695–709 (2010)
Youssef, O.A.S.: Combined fuzzy-logic wavelet-based fault classification technique for power system relaying. IEEE Trans. Power Deliv. 19(2), 582–589 (2004)
Pradhan, A.K., Routray, A., Pati, S., Pradhan, D.K.: Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line. IEEE Trans. Power Deliv. 19(4), 1612–1618 (2004)
Chiradeja, P., Pothisarn, C.: Discrete wavelet transform and fuzzy logic algorithm for identification of fault types on transmission line. In: Proceedings of the 8th IET International Conference on Advances in Power System Control, Operation and Management (APCOM 2009), Hongkong (2008)
Khalid, H.M., Khoukhi, A., Al-Sunni, F.M.: Fault detection and classification using kalman filter and genetic neuro-fuzzy systems. In: Proceedings of Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), pp. 1–8 (2011)
Rebizant, W., Solak, K.: Transmissin line differential protection with fuzzy signal processing support. In: Proceedings of 7th International Conference on Electrical and Electronics Engineering (ELECO), pp. 162–166 (2011)
Moshtagh, J., Rafinia, A.: A new approach to high impedance fault location in three-phase underground distribution system using combination of fuzzy logic & wavelet analysis. In: Proceedings of 11th International Conference on Environment and Electrical Engineering (EEEIC), pp. 90–97 (2012)
Cecati, C., Razi, K.: Fuzzy-logic-based high accurate fault classification of single and double-circuit power transmission lines. In: Proceedings of the International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp. 883–889 (2012)
Long, Z., Younan, N.H., Bialek, T.O.: Underground power cable fault detection using complex wavelet analysis. In: Proceedings of International Conference on High Voltage Engineering and Application, pp. 59–62 (2012)
Chiradejal, P., Pothisarn, C.: Discrete wavelet transform and fuzzy logic algorithm for identification of fault type on transmission line. In: Proceedings of 8th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM2009), pp. 1–6 (2009)
Klomjit, J., Ngaopitakkul, A.: Selection of proper input pattern in fuzzy logic algorithm for classifying the fault type in underground distribution system. In: 2016 IEEE Region 10 Conference (TENCON), Singapore, pp. 2650–2655 (2016)
Nag, A., Yadav, A.: Fault classification using Artificial Neural Network in combined underground cable and overhead line. In: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, pp. 1–4 (2016)
Rafinia, A., Moshtagh, J.: A new approach to fault location in three-phase underground distribution system using combination of wavelet analysis with ANN and FLS. Int. J. Electr. Energy Syst. 55, 261–274 (2014). ISSN: 0142-0615
Zin, A.A.M., Saini, M., Mustafa, M.W., Sultan, A.R., Rahimuddin: New algorithm for detection and fault classification on parallel transmission line using DWT and BPNN based on Clarke’s transformation. Neurocomputing 168, 983–993 (2015). ISSN 0925-2312
Prasad, A., Edward, J.B.: Application of wavelet technique for fault classification in transmission systems. Proc. Comput. Sci. 92, 78–83 (2016). ISSN 1877-0509
Acknowledgments
This authors wish to gratefully acknowledge financial support for this research (No. KREF025606) from the King Mongkut’s Institute of Technology Ladkrabang Research fund, Thailand. They also would like to thank the Srinakharinwirot University and PEA for the DigSILENT presented in this article.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Yoomak, S., Pothisarn, C., Jettanasen, C., Ngaopitakkul, A. (2018). Discrete Wavelet Transform and Fuzzy Logic Algorithm for Classification of Fault Type in Underground Cable. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_52
Download citation
DOI: https://doi.org/10.1007/978-3-319-66827-7_52
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66826-0
Online ISBN: 978-3-319-66827-7
eBook Packages: EngineeringEngineering (R0)