Novel machine health monitoring system

Abstract

Machines have been an inevitable part of our life in today’s era. It has become paramount to look after various machines and keep them in safe as well as efficient condition. To check the health of such machines, various devices have been developed which measures vibrations, temperature, noise level, and power consumption. Any defect in the machine is indicated by unusual behavior in the above parameters. FFT analyzers are used to measure vibrations in the machine. However, the cost of FFT analyzers is very high and it may not be affordable to small-scale industries. Also, they rarely have a provision to measure the speed, temperature, and power consumed by the machine. The present research work is an effort to provide a low-cost solution to the existing health monitoring systems along with facility to measure various parameters like vibrations, noise, temperature, rotational speed, and power consumption. A low-cost controller Arduino Mega 2560 is used along with various sensors and integrated to MATLAB GUI to store and display the acquired data. The developed device was compared with existing systems and found to have a good agreement. This device can be used as a monitoring tool in small-scale industries where high-cost FFT analyzers become obsolete due to costing issue.