DETECTION OF TRANSMISSION LINE FAULTS USING RECURRENT NEURAL NETWORKS

Closed Posted 4 years ago Paid on delivery
Closed Paid on delivery

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.

Data Science Machine Learning (ML) Python Data Analysis

Project ID: #20766981

About the project

7 proposals Remote project Active 4 years ago

7 freelancers are bidding on average $151 for this job

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