Predictive Maintenance and Fault Diagnosis of Induction Motor

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

Project Title

Predictive Maintenance and Fault Diagnosis of Induction Motor

Project Area of Specialization

Electrical/Electronic Engineering

Project 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 System

Core Industry

Manufacturing

Other Industries

Petroleum , Food , Energy , Health , Telecommunication

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT), Robotics

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com