Selection of proper input pattern in fuzzy logic algorithm for classifying the fault type in underground distribution system

Simple item page
dc.contributor.authorKlomjit, Jittiphong
dc.contributor.authorNgaopitakkul, Atthapol
dc.date.accessioned2026-08-06T10:16:06Z
dc.date.available2026-08-06T10:16:06Z
dc.date.issued2017-02-08
dc.description.abstractThis paper present the proper input pattern of fuzzy logic algorithm for fault type classification in underground cable. The proposed algorithm using combination of discrete wavelet transform (DWT) and fuzzy logic. The DWT is applied to extract high frequency component from fault current waveform using mother wavelet daubechies4 (db4). The maximum coefficients detail of DWT and maximum ratio of DWT, obtained from phase A, B, C and zero sequence of fault current waveforms have been used as an input variables for decision algorithm. The obtained results in term of average accuracy have shown that the maximum ratio of DWT can achieved satisfactory accuracy in fault type classification.
dc.identifier.citationIEEE Region 10 Annual International Conference Proceedings TENCON, 2650-2655, 2017
dc.identifier.doi10.1109/TENCON.2016.7848519
dc.identifier.issn21593442
dc.identifier.other2-s2.0-85015385971
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/7495
dc.sourceIEEE Region 10 Annual International Conference Proceedings TENCON
dc.subjectFault Type
dc.subjectFuzzy Logic
dc.subjectUnderground Distribution System
dc.titleSelection of proper input pattern in fuzzy logic algorithm for classifying the fault type in underground distribution system
dc.typeConference Paper

Files

Collections

Research