Intelligent approach to interpret incipient faults of power transformer from DGA database (Record no. 20792)

000 -LEADER
fixed length control field a
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240321090750.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240321b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 23081
Author Modi, Mitul M.
245 ## - TITLE STATEMENT
Title Intelligent approach to interpret incipient faults of power transformer from DGA database
250 ## - EDITION STATEMENT
Volume, Issue number Vol.104(4), Aug
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. USA
Name of publisher, distributor, etc. Springer
Year 2023
300 ## - PHYSICAL DESCRIPTION
Pagination 869-876p.
520 ## - SUMMARY, ETC.
Summary, etc. Power transformer is most powerful and expensive tool in power system for transmitting and distributing electrical energy to all consumers. High-voltage transformers in power system are oil-immersed type transformer. Use of oil provides much needed cooling, insulation, and reduces vibrations to power transformer. Oil of the power transformer is monitored and diagnosed on a regular basis to preserve its dependability and efficiency. Dissolved gas analysis (DGA) is effective and efficient tools to interpret incipient faults. In DGA method, dissolved gases like H, CH, CH, CH, CH are extracted from oil. Based on the gases threshold values in oil, different faults are identified. The current article focus on three traditional fault diagnostic methods IEC, Roger ratio, and Duval triangle and one artificial neural network-based intelligent method. Result spot light that intelligent methods gives higher accuracy and consistency to identify the incipient faults of power transformer while traditional methods are proved inadequate, inaccurate and inconsistent.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4642
Topical term or geographic name entry element Humanities and Applied Sciences
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 23082
Co-Author Patel, Rakesh A.
773 0# - HOST ITEM ENTRY
International Standard Serial Number 2250-2106
Title Journal of the institution of engineers (India): Series B
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://link.springer.com/article/10.1007/s40031-023-00891-2
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2024-03-21 2024-0313 2024-03-21 2024-03-21 Articles Abstract Database
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