Authors :
Mzamo Richard Msane
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/2p9hpbm2
Scribd :
https://tinyurl.com/bp6ww5ps
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR600
Abstract :
The evaluation of Internet of Things (IoT),
which are contracted to research the adoption or
acceptance of IoT technology, is deemed to be a subject of
vital importance. Studying the adoption or admissibility
of IoT technology is not a brand-new study area, and
numerous scholars have undertaken the task. The current
and upcoming generations of Internet are being shaped
by the Internet of Things (IoT). The main aim of this
survey, contrasted with previous surveys, is to
systematically evaluate the IoT technology research in
condition monitoring of power transformers to proffer a
thorough cursor that can facilitate scholars to accomplish
additional research in IoT acceptance. Almost all
appliances may now be remotely monitored and
connected to the internet thanks to the Internet of Things.
Power transformers play a crucial role in electrical
distribution networks, and their reliable operation is
paramount. The existing diagnostic tests outlined in the
IEC 60076-1 standard are essential for ensuring
transformer health but suffer from manual procedures,
leaving them susceptible to human error. This traditional
method not only introduces the potential for inaccuracies
due to human involvement but also incurs significant
operational costs and delays. The need to physically
dispatch technicians to transformer sites for routine
diagnostics hampers timely fault detection and preventive
maintenance. Therefore, there exists a pressing need to
modernize and enhance the diagnostic procedures by
integrating emerging technologies like the Internet of
Things (IoT). This paper will review the most recent
techniques for transformer health tracking system using
IoT and highlight the contemporary approaches. A total
of 50 primary research literature that was published
between 2018 and 2024 were surveyed in this review
paper.
Keywords :
Internet of Things, Transformers, Sensors, Systematic Literature Review.
The evaluation of Internet of Things (IoT),
which are contracted to research the adoption or
acceptance of IoT technology, is deemed to be a subject of
vital importance. Studying the adoption or admissibility
of IoT technology is not a brand-new study area, and
numerous scholars have undertaken the task. The current
and upcoming generations of Internet are being shaped
by the Internet of Things (IoT). The main aim of this
survey, contrasted with previous surveys, is to
systematically evaluate the IoT technology research in
condition monitoring of power transformers to proffer a
thorough cursor that can facilitate scholars to accomplish
additional research in IoT acceptance. Almost all
appliances may now be remotely monitored and
connected to the internet thanks to the Internet of Things.
Power transformers play a crucial role in electrical
distribution networks, and their reliable operation is
paramount. The existing diagnostic tests outlined in the
IEC 60076-1 standard are essential for ensuring
transformer health but suffer from manual procedures,
leaving them susceptible to human error. This traditional
method not only introduces the potential for inaccuracies
due to human involvement but also incurs significant
operational costs and delays. The need to physically
dispatch technicians to transformer sites for routine
diagnostics hampers timely fault detection and preventive
maintenance. Therefore, there exists a pressing need to
modernize and enhance the diagnostic procedures by
integrating emerging technologies like the Internet of
Things (IoT). This paper will review the most recent
techniques for transformer health tracking system using
IoT and highlight the contemporary approaches. A total
of 50 primary research literature that was published
between 2018 and 2024 were surveyed in this review
paper.
Keywords :
Internet of Things, Transformers, Sensors, Systematic Literature Review.
