An artificial neural network approach for digital filtering application in distance relay (Record no. 8179)

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fixed length control field 03449nas|a2200409 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817163304.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 280200s1999 th uu m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b11777576
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.ET-99-28
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Sunphead Chaipunha
245 13 - TITLE STATEMENT
Title An artificial neural network approach for digital filtering application in distance relay
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 1999
300 ## - PHYSICAL DESCRIPTION
Extent 123 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. ET-99-28
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering. School of Environment Resources and Development
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 1999
520 ## - SUMMARY, ETC.
Summary, etc. The main objective of the digital relaying of transmission line is to determine the phasor repi"esentations of the voltage and current signals from their sample values and thereafter to calculate the apparent impedance of faulty line from the relay location to the fault point. Then determine whether the fault lies within the relay's protective zone or not. Since impedance of linear system is defined in terms of the fundamental frequency voltage and current sinusoidal waves, it is necessary to extract the fundamental frequency components of voltage and current signals from the complex post fault voltage and current signals. This work presents an adaptive neural network approach for the estimation of fundamental components from the complex post fault voltage and current signals. The neural estimator is based on the use of an adaptive perceptron consisting of Adaptive Linear Neuron network called ADALINE. The learning parameters in the proposed algorithm are adjusted to force the actual and desired outputs to satisfy a stable difference error equation, rather than to minimize an error function. Three numerical tests have been conducted for adaptive estimation of fault impedance. The first is the simulated signals, the second is signals from transient analysis program EMTP and the third is signals from EGAT system captured by fault recorder. The estimator tracks accurately the fundamental components of the signals data corrupted with harmonics and decaying de component during transient period. The performance of the proposed algorithm is found superior to the recursive DFT based algoritlm1s.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Neural networks (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electric power transmission
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electric lines
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dhadbanjan, Thukaram,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yu, Cun Yi,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Surapong Chiraratananon,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Electricity Generating Authority of Thailand,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. ET-99-28
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B12791">http://203.159.5.9/ait-thesis/detail.php?q=B12791</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 000228
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120731863
CREATED CREATED : 2014-03-02
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Barcode Barcode : 30050120365381
CREATED CREATED : 2016-06-15
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Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Thesis no.ET-99-28 30050120731863 17/08/2026 3 17/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT Thesis no.ET-99-28 30050120365381 17/08/2026   17/08/2026 40-Archives
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