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 |