Development of Real-Time Condition Monitoring and Fault Identification for Three Phase Induction Motor
The induction motor (IM) is an essential component of industrial machinery and is considered a main mechanical power source in the industry; therefore, any fault in induction motors directly leads to a significant downtime of the entire system and disrupts production. The early detection of faults i
2025-06-28 16:26:41 - Adil Khan
Development of Real-Time Condition Monitoring and Fault Identification for Three Phase Induction Motor
Project Area of Specialization Electrical/Electronic EngineeringProject SummaryThe induction motor (IM) is an essential component of industrial machinery and is considered a main mechanical power source in the industry; therefore, any fault in induction motors directly leads to a significant downtime of the entire system and disrupts production. The early detection of faults in IM helps in predicting motor failures optimising motor maintenance, reducing maintenance costs, reducing downtime, and improving the overall reliability of the system. Different methods are used to identify the faults of IM; however, the proposed work will use MCSA and vibration signal analysis because of their popularity to develop a cost-effective and real-time condition monitoring and fault identification system. The proposed system will compare the frequency spectrum of healthy and unhealthy motor current and vibration signals and will use a machine-learning algorithm to evaluate the performance of IM.
Project ObjectivesThe Project Objectives are explained as:
- The development of the proposed system will bring innovation in the industrial sector regarding the pre identification of fault and will support in minimizing the repair and maintenance cost as well as any other related financial loss and thus will help to meet the 9th of SDGs (Industry, Innovation and Infrastructure).
- Further, the early detection of IM faults through the suggested system will also assist in avoiding complete system failure/shutdown and ultimately will benefit in maintaining the production and thus will address to meet the Responsible Consumption and Production (12th of SDGs).
The methodology can be summarized as follows:
1. Initially, we will carry out a detailed literature review.
2. Then, we will develop an experimental setup for a three-phase induction motor.
3. Then, we will collect the data (current signal, vibration signal and temperature) for measuring the fault of the induction motor and apply the signal processing technique.
4. Then, we will build a GUI using MATLAB for fault identification of other induction motors based on machine learning algorithms.
5. Finally, we will test the motors and will generate the faults report.
The Benefits of the Project can be summarized as follows:
- Reduce the repairing cost of the induction motor.
- Avoid complete system failure/shutdown
- Reduce the financial loss.
- Control the large breakdown in industries
- Controls the noise and temperature of the induction motor.
- The early detection of faults in induction motor, the proposed system will play a significant role in environmental sustainability.
We make the Physical test Bench for Fault identification.


We add some work we did.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 29790 | |||
| 1.5 hp Induction motor | Equipment | 2 | 7000 | 14000 |
| Stm 32 necleu-64 F103RB | Equipment | 1 | 4200 | 4200 |
| ADXL335 (vibration sensor) | Equipment | 1 | 550 | 550 |
| DHT22 (Temperature Sensor) | Equipment | 1 | 300 | 300 |
| ACS722 (Current sensor) | Equipment | 1 | 320 | 320 |
| Pully Wheel | Equipment | 1 | 1600 | 1600 |
| Pully Bore | Equipment | 1 | 250 | 250 |
| Light Meter | Equipment | 1 | 1600 | 1600 |
| Box 8x10 | Equipment | 1 | 700 | 700 |
| Breadboard | Equipment | 2 | 50 | 100 |
| Balance Load | Equipment | 2 | 700 | 1400 |
| Bearing 6204 | Equipment | 2 | 25 | 50 |
| Belt (8 feet) | Equipment | 1 | 480 | 480 |
| STM Data Cable | Equipment | 2 | 100 | 200 |
| PCB Complete | Equipment | 1 | 680 | 680 |
| Bolt & Nuts | Equipment | 1 | 560 | 560 |
| Wooden Piece | Equipment | 2 | 150 | 300 |
| Electric Wire | Equipment | 1 | 1000 | 1000 |
| Synopsis (Print+Bind) | Miscellaneous | 1 | 1500 | 1500 |
















