Development of an Internet of Things-Based Non-Intrusive Temperature Monitoring System for Star-Delta Controlled Three-Phase Induction Motor

Student: Godswill Ndukachukwu Douglas (Project, 2025)
Department of ELECTRICAL ELECTRONICS ENGINEERING
Elizade University, Ilara-Mokin, Ondo State

Abstract

Electric motors are used for several applications in the industry and the induction type motor being the most commonly used. Despite their robust and low maintenance requirement, they are still exposed to numerous external factors that results in the motor failure. Most of the external factors such as bearing failure, fan failure, overload, under/over-voltage results in temperature increase which are detrimental to the lifespan of the electric motor. Overheating of motor have been attributed as the primary problem electric motor in the industry. This study aims to develop and integrate an IoT-based non-intrusive temperature monitoring and control system into a three-phase 30 h.p induction motor controlled by a star-delta panel. A two-stage monitoring and control was setup at 10 oC below and 5 oC above the rated operating temperature rating of 55 oC on the motor nameplate. The results obtained for the 10 oC setting below rated nameplate rating showed that the motor operating temperature range from 33.7 oC to 44.5 oC with the motor shut down at temperature of
45.2 oC at 2 seconds after the reading was obtained. For the 5 oC setting above the motor operating nameplate temperature, the motor temperature ranges from 33.7 oC to 44.5 oC.

Keywords
IoT temperature monitoring non-intrusive system induction motor three-phase motor star-delta control motor protection motor overheating industrial automation predictive maintenance smart monitoring system IoT-based control system
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