Machine learning-based asset management for power transformer maintenance (Record no. 70943)

MARC details
000 -LEADER
fixed length control field 03867nas a2200469 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818153821.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220613s2020 th uu m rtt 0 a eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b1238544x
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.ET-20-07
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Thitaporn Tubpong
245 10 - TITLE STATEMENT
Title Machine learning-based asset management for power transformer maintenance
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 133 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. ET-20-07
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy, School of Environment, Resources and Development
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Eng.) - Asian Institute of Technology, 2020
520 ## - SUMMARY, ETC.
Summary, etc. The power transformer is a crucial asset in the electrical power system since high cost and failure can lead to system failure. Power transformer maintenance management is asset management that can prevent unexpected failure and extend the power transformer's useful life, saving the replacement cost. This study presents reliability-centered maintenance that uses machine learning to predict future conditions and make the maintenance plan. LSTM (Long Short Term Memory) predicted 2020 power transformer component index from 2019 maintenance test record then use SVM, Decision tree, Random forest, and k-NN algorithm to classify to 2020 maintenance condition. Compared with the traditional technique such as time-based maintenance plan and reliability-center maintenance plan using the calculation in weighing and score technique. The cost of maintenance determined by combining routine maintenance cost 35,371 Baht and replacement cost 791,800 Baht, which calculates the depreciation expense of installing a new power transformer based on 20 years of useful life. In this study, the 2020 maintenance plan presents that Reliability-Centered maintenance with Long Short Term Memory prediction and random forest classification technique can predict the future power transformer conditions and classify them into suitable maintenance activities. These techniques make an effective maintenance plan that plans the suitable maintenance for power transformer, reduce maintenance costs, and extend the power transformer useful life.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electric power systems
General subdivision Maintenance and repair
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
General subdivision Technique
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Weerakorn Ongsakul,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singh, Jai Govind,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ekbordin Winijkul,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element PEA-AIT Education Cooperation Project,
Relator term Scholarship Donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology Fellowship,
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-20-07
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B16698">http://203.159.5.9/ait-thesis/detail.php?q=B16698</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b1238544x
b mnait
c m
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 240419
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 220613
First date, FD (RLIN) m
-- a
-- m
-- 0
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 61-CD-ROM
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
909 ## - LOCAL ITEMS USED
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CREATED CREATED : 2022-02-06
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Cost, normal purchase price
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Thesis no.ET-20-07 30020220006442 18/08/2026 1 18/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Thesis no.ET-20-07   18/08/2026   18/08/2026 61-CD-ROM  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Thesis no.ET-20-07 30050121035850 18/08/2026 1 18/08/2026 20-AIT Publication 50.00
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Thesis no.ET-20-07 30050121035983 18/08/2026 2 18/08/2026 20-AIT Publication 50.00
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