Design and Implementation of Machine Health Monitoring

Our world is transforming into the new phase of life where everything is controlled and manage by a single click on our devices - and hence we are heading towards the IOT Based Systems (IBS). That is why to stay relevant and keep up with the market requirements we want to develop an IOT Based Cyber

Project Title

Design and Implementation of Machine Health Monitoring

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

Our world is transforming into the new phase of life where everything is controlled and manage by a single click on our devices - and hence we are heading towards the IOT Based Systems (IBS). That is why to stay relevant and keep up with the market requirements we want to develop an IOT Based Cyber Physical System (ICPS) for monitoring of machine's health in our industries by considering some major faults experienced by induction motor (for instance: rotor misalignment, broken rotor bars and  bearings faults etc) with the use of MCSA (Motor Current Signature Analysis) technique. MCSA is a condition monitoring technique helps to detect the faults in the induction motor. This project focuses on the  detection of above mentioned faults under different load conditions. The objective is to diagnose and deal with these fault(s) in real time before they cause a major setback to the industry.

Project Objectives

We have following three main objectives:

1. To study analysis techniques of  induction motor which is our literature review part.

2. Develop a standalone hardware for Machine Health Monitoring System of Induction Motors.

3. To monitor its State Of Health (SOH) and to identify specific faults along with the increase in efficiency of our results.

Project Implementation Method

Our procedure includes (MCSA) Motor Current Signature Analysis methodology. Starting with placing a sensor(Current Transformer) on one of the three phases of the induction motor and collect the time domain data (current samples) through respberry pie. Once the data is collected we will apply signal processing techniques such as wavelet analysis or FFT to identify the "fault generated" frequencies present in it. Finally by comparing the spectrum of an healthy motor with that of the faulty motor we deduce the results.

Benefits of the Project

Our project has a greater impact on the industrial sector of our country. In Pakistan, Industries are using corrective maintenance which is not only costly but also it reduces the overall asset life. Thats why our system provide efficient and cost effective solution to 80% of the industries providing predictive maintenance (earlier detection of faults) that helps them in not anly reducing their downtime, but also increase their system efficiency and reduce labour cost as well.

Technical Details of Final Deliverable

Our procedure includes(MCSA) Motor Current Signature Analysis. Starting with placing a sensor(Current Transformer) on one of the three phases of the induction motor and collect the data(current samples) through respberry pie. Once the data is collected we will apply signal processing techniques such as wavelet analysis or FFT to identify the "fault generated" frequencies present in it. Finally by comparing the spectrum of healthy motor with that of the faulty motor we deduce the results.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Energy

Other Industries

Core Technology

Big Data

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Quality Education

Required Resources

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