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About Transmission Line Fault Detection, Syedazehranadeemdsai2
This document is the final project report submitted by Syeda Zehra Nadeem to the NED University of Engineering and Technology in partial fulfillment of the requirements for a Postgraduate Diploma in Data Science with Artificial Intelligence. The project aims to develop a system for detecting and classifying faults on transmission lines using deep learning techniques, specifically convolutional neural networks and long short-term memory models. The report describes the methodology, implementation including data collection and preprocessing, model building and training, and evaluation of results. The long short-term memory model achieved higher test accuracy and lower loss than the convolutional neural network, demonstrating its superiority for this application. The report concludes by acknowledging challenges in classifying certain fault types and providing recommendations for
Detailed Information
Author: | ['szehranadeem'] |
---|---|
Publication Year: | 2023 |
Pages: | 67 |
Language: | English |
Format: | |
Price: | FREE |
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