DETECTION OF TRANSMISSION LINE FAULTS USING RECURRENT NEURAL NETWORKS

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$30-250 USD

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RESEARCH PROJECT TOPIC: DETECTION OF TRANSMISSION LINE FAULTS USING RECURRENT NEURAL NETWORKS.

OBJECTIVES.

1. TO DEVELOP A COST EFFECTIVE ALGORITHM FOR TRANSMISSION LINE FAULT DETECTION.

2. TO TRAIN THE ALGORITHM.

3. TO DETECT AND PROMPTLY LOCALIZE FAULTS ON TRANSMISSION LINES.

4. TO ACCURATELY ANALYZE AND CLASSIFY THE FAULTS.

5. TO AUTO-PROTECT THE SYSTEM.

6. TO VALIDATE THE MODEL.

SCOPE.

THE SCOPE IS TO DETECT FAULT ON A SHORT DISTANCE, 33KV TRANSMISSION LINE SERVING OFF THE NATIONAL GRID.

Datavidenskab Machine Learning (ML) Python Data Analysis

Projekt ID: #20766981

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