Predictive Maintenance and Monitoring of Industrial Machine with Machine Learning and Electronic Communication

Abstract

This project targets the performance monitoring and doing predictive maintenance of a dedicated industrial machine. It aims to use machine learning algorithms to do predictive maintenance and predict the future faults that might occur based on machine learning model formed where the energy meter readings are given as input data. The project also aims to provide Real-time meter reading's running hour time through the continous fetched per minute data.Also via this project, the concerned dicipline gets power report, where power consumed is automatically calculated and sent via mail at a dedicated period of time. The data collected from EM via ModBus communication, is then later on bifurcated and analayzed to build appropriate ML model.The resultant values shall produce the critical-non critical conditions and accordingly actions shall be undertaken.