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ZENODO
Article . 2026
License: CC BY NC
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY NC
Data sources: Datacite
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Smart Transformer

Authors: Jaydip Shirsath; Saurabh Bhalerao; Chintamani Bonde; Prathamesh Waghmare; Prof. Shruti Gour;

Smart Transformer

Abstract

Power distribution transformers are key infrastructural elements whose operational failure introduces network instability, high repair liabilities, and customer power disruptions. Standard manual maintenance schemes cannot prevent rapid failures caused by overloading and unexpected thermal spikes in real time. This paper details the engineering and validation of an automated, Internet of Things (IoT)-driven health monitoring system designed for a 1 kVA single-phase air-cooled distribution transformer. Centered on an Arduino Uno microcontroller layer, the architecture integrates non-invasive electrical and ambient environment sensors to monitor terminal AC voltage, load current, ambient temperature, and humidity. Remote telemetry and geographical asset location are managed via embedded GSM (SIM800L) and GPS (NEO-6M) modules. Testing confirms that the system handles real-time parameter tracking and runs safety trip logic during electrical overcurrent and over-temperature violations.

Keywords

IoT, Distribution Transformer, Arduino Uno, NEO-6M GPS, Condition Monitoring, Overcurrent Protection, GSM SIM800L

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average