Ammar Al-Bazi

Dr. Ammar Al-Bazi

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 August 2021 in Neural Computing and Applications
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Journal Article
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NMNooriya A. Mohammed
Nooriya A. Mohammed
AAAmmar Al-Bazi
Ammar Al-Bazi

2 September 2022 in Energies
Verified
Journal Article
Open access
PDF file
FAFiras Basim Ismail Basim Alnaimi
Firas Basim Ismail Basim Alnaimi
MMMaisarah Mazwan
Maisarah Mazwan
HAHussein Al-Faiz
Hussein Al-Faiz
MMMARAYATI BINTI MARSADEK
MARAYATI BINTI MARSADEK
HHHasril Hasini
Hasril Hasini
Young Zaidey Yang GhazaliYoung Zaidey Yang Ghazali
Young Zaidey Yang Ghazali
Transformer failures have a significant cost impact on the operation of an electrical network. In many utilities, transformers have been operating for many years past their expected usable life. As power demand has surged, transformers in some areas are being loaded beyond their rated capacity to meet the demand. One of the vital components in a transformer is the on-load tap changer (OLTC), which regulates the voltage in the distribution network. This study aims to review several condition-monitoring techniques (online and offline) that can monitor the health of the OLTC and assure the safety of the transformer’s OLTC from irreparable damage by detecting the defect at an earlier stage, which is preceded by the specification of typical faults. This paper also discussed the common faults of the OLTC and the root causes of these faults. The OLTC is prone to mechanical faults due to its frequently changing mechanism in the tap operation. The OLTC are also prone to oil as well as thermal faults. As a result, it is critical to monitor OLTC conditions while they are in use. Proper management of condition monitoring (CM) for the OLTC is useful and necessary to increase availability and achieve optimised operating. Condition monitoring (CM) and diagnostics methods (DM) have been developing since the 1950s. CM and DM have been implemented to diagnose and detect an incipient fault, especially for the OLTC. Many techniques, online and offline, are being used to monitor the condition of the OLTC to prevent failure and minimize outages. These DM and CM will prolong the operational cycle and avoid a major disaster for the OLTC, which is an unfavorable scenario.

13 April 2023 in Expert Systems with Applications
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Journal Article
Open access
SASarfraz Ahmed
Sarfraz Ahmed
AAAmmar Al-Bazi
Ammar Al-Bazi
CSChitta Saha
Chitta Saha
Sujan RajbhandariSujan Rajbhandari
Sujan Rajbhandari
NHNazmul Huda
Nazmul Huda

24 August 2022 in Case Studies in Thermal Engineering
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Journal Article
Open access
FAFiras Basim Ismail Basim Alnaimi
Firas Basim Ismail Basim Alnaimi
AAAmmar Al-Bazi
Ammar Al-Bazi
IAIslam Gamal Aboubakr
Islam Gamal Aboubakr


1 July 2019 in Computers & Industrial Engineering
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Journal Article
Closed access
TATunde V. Adediran
Tunde V. Adediran
AAAmmar Al-Bazi
Ammar Al-Bazi
LSLuiz Eduardo dos Santos
Luiz Eduardo dos Santos