Phase Shift-Based Fault Detection of Induction Motor Using IoT System

For induction motors, the effect of phase shift in the motor causes overheating, which is caused by the overlap voltage. It results in hysteresis losses, copper losses, and winding losses. This research aims to design and build a device to detect phase shift faults detection of induction motors via the internet of things (IoT). The ESP8266 Module was used for signal processing, which connected devices to devices. It was displayed through the Blynk application in the form of parameter values and waveform displays. To simulation and test fault value from the sensor value sent to the ESP8266 Module, which was an error of 1-1.50% caused by signal loss in the system. As a result of the lagging internet signal, signal transmission between the ESP8266 Module and the Blynk application had a 1-2% error rate. The use of an IoT system for phase shift fault detection in an induction motor can alert and show the system in real-time.