Experimental simulation investigation rotor bar is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Experimental simulation investigation rotor bar Project Details
| Abstract |
This study compares two methods for detecting broken rotor bar (BRB) faults in closed‑loop induction‑motor drives. The methods are Motor Current Signature Analysis (MCSA) and the Hilbert Transform (HT) approach; both use a Fast Fourier Transform (FFT) to examine the frequency spectrum. To keep the motor’s speed stable and maintain good speed control despite rotor faults, the drive uses a Direct Torque Control (DTC) scheme as its closed‑loop controller. Both diagnostic techniques are tested under several load conditions, with special focus on low‑load and no‑load operation where traditional signature analysis often struggles. The work is validated in two ways: – Numerical simulations in MATLAB/Simulink. – Real‑time experiments with a dSPACE
1104 controller board connected through the Real‑Time Interface (RTI). Results show that each method can detect BRB faults when the motor is loaded. However, the Hilbert Transform‑based spectral analysis is more sensitive and reliable during no‑load operation. This makes the HT approach a strong candidate for online condition monitoring in industrial drive systems.
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| Reference Paper |
Experimental and simulation investigation for rotor bar fault diagnosis in closed-loop induction motors drives |
| Domain |
Electrical Engineering |
| Sub-Domain |
Electrical Machines & Drives / Transformers & Machines / Fault Diagnosis |
| PDF Download |
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