Smart Transformer Health Monitoring System

被引：1

作者：

Ahmed, Ali ^{[1
]}

机构：

[1] Natl Univ Sci & Technol, Pakistan Navy Engn Coll, Karachi, Pakistan

来源：

COMPANION OF THE ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2023 | 2023年

关键词：

Distribution Transformers; Condition Monitoring; Artificial Intelligence; Internet of Things; Dissolved Gas Analysis; MQTT;

D O I：

10.1145/3568294.3580196

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Dependency on electricity is currently at an all-time high with power distribution being a key element. Currently, the maintenance and monitoring methodologies especially in Pakistan revolve around taking on-field samples (DGA) which is overall primitive and prone to human error. This research paper presents a smart device that can monitor transformer's health using AI and relay that health score to a remote dashboard through the Internet of Things (IoT). The device uses a combination of single board computer, embedded systems, and communication protocols and is designed to detect and diagnose any issues with the transformer and alert the user in real time. The results of this research show that the device is an effective and reliable tool for extrusive monitoring of health of transformer.

引用

页码：837 / 840

页数：4

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