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

Project Title

Development of Real-Time Condition Monitoring and Fault Identification for Three Phase Induction Motor

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

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 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 Objectives

The Project Objectives are explained as:

Project Implementation Method

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.

Benefits of the Project

The Benefits of the Project can be summarized as follows:

Technical Details of Final Deliverable

 We make the Physical test Bench for Fault identification.

'Development of Real-Time Condition Monitoring and Fault Identification for Three Phase Induction Motor' _1659394772.png

'Development of Real-Time Condition Monitoring and Fault Identification for Three Phase Induction Motor' _1659394773.png

We add some work we did.

Final Deliverable of the Project Hardware SystemCore Industry ManufacturingOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Industry, Innovation and Infrastructure, Responsible Consumption and ProductionRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 29790
1.5 hp Induction motor Equipment2700014000
Stm 32 necleu-64 F103RB Equipment142004200
ADXL335 (vibration sensor) Equipment1550550
DHT22 (Temperature Sensor) Equipment1300300
ACS722 (Current sensor) Equipment1320320
Pully Wheel Equipment116001600
Pully Bore Equipment1250250
Light Meter Equipment116001600
Box 8x10 Equipment1700700
Breadboard Equipment250100
Balance Load Equipment27001400
Bearing 6204 Equipment22550
Belt (8 feet) Equipment1480480
STM Data Cable Equipment2100200
PCB Complete Equipment1680680
Bolt & Nuts Equipment1560560
Wooden Piece Equipment2150300
Electric Wire Equipment110001000
Synopsis (Print+Bind) Miscellaneous 115001500

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