Smart internet of things based induction motor parameter monitoring and control system

Abstract

The induction motor remains asthe most popular type of motor for industrial applications The primary advantage of the induction motor is its simple rotor construction which leads to low cost ruggedness and low maintenance requirements Condition monitoring of industrial induction motor systems is a high priority task due to their wide use. In developed countries most of the energy consumed by the industry is due to motor System The condition based maintenance approach uses real-time data that determines the equipments health optimizes maintenance resources and improves the system reliability This work presents two advanced approaches using wireless monitoring system for induction motor based on Internet of Things IoT for safe and economic data communication. The two techniques are Stochastic Rule Control SRC and Resilient Model Predictive Control RMPC In the first approach state of the art fault detection strategy is exhibited for induction motor by utilizing SRC algorithms This SRC algorithm depends on the assessment of measured voltage current earth leakage rotor status and speed Progressed embedded strategy and SRC algorithm are utilized to isolate and survey the disappointment seriousness newline newline