Predictive Maintenance and Fault Diagnosis of Induction Motor

Project Title

Predictive Maintenance and Fault Diagnosis of Induction Motor

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

This project is about the predictive maintenance and fault diagnosis of induction motors. Induction motors are one of the most pivotal electrical hardware and are substantially used in industries in a broad range of applications. Therefore, the timely maintenance of these motors is requisite. There are three types of maintenance of machines. The maintenance after failure in this type of maintenance we simply use the machine as long as possible without maintenance. It is the cheapest approach, but with the highest risk of unexpected shutdowns. The next type is preventative maintenance; the repairs are done at predetermined intervals regardless of actual condition. The demerit is that we waste money by exchanging the parts which are functioning properly. You could repair the machine very frequently but these planned shutdowns and costs would be of enormous. The right moment is when the failure is near but at that time it is still safe to keep the machine running until the time for repair which is convenient for the company. The predictive maintenance can be recognized at this moment. We get different parameters of the machine and from the further analysis. We get more refined data that helps us to predict various faults that can possibly occur during the operation.

Project Objectives

•To produce a predictive maintenance to the Induction Motors.

•To make a prototype for demonstration of predictive maintenance of Induction Motors.

Project Implementation Method

At the beginning, we design the simulation model on the software. We will get the following motor parameters such as vibrations, rpm, current, voltage and temperature and then we will list these simulated result in database. Afterward we`ll prepare the actual system (prototype) and take the readings of same above mentioned parameters. All these actual system parameters will then also save into database. When the simulated results saved in database we develop and  implement prediction algorithms for diagnosis of faults and predict maintenance.

Benefits of the Project

Technical Benefits:

         Engineering solutions:

• Health and condition monitoring of induction motors.
• Less downtime and production loss for the company.
• Higher production rate and improved quality products.

Social Benefits:

• Indirect benefits for the society by improving quality of industrial work.

Technical Details of Final Deliverable

We will provide the prototype solution. It will provide possible faults, it's remedies and deadline.

Final Deliverable of the Project Hardware SystemCore Industry ManufacturingOther Industries Petroleum , Food , Energy , Health , Telecommunication Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT), RoboticsSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
Induction Motor	Equipment	2	12000	24000
Microcontroller	Equipment	2	1500	3000
Vibration sensor	Equipment	3	2500	7500
Temperature sensor	Equipment	2	2500	5000
RPM sensor	Equipment	2	2500	5000
Voltage sensor	Equipment	2	2500	5000
Current sensor	Equipment	2	2500	5000
Sensor Modules	Equipment	2	2750	5500
Miscellaneous	Miscellaneous	1	10000	10000