Detecting partial discharge by AI approach

• Main Author: Wang, Shengyuan
• Other Authors: Jiang Xudong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering
• Online Access: https://hdl.handle.net/10356/176921
• Institution: Nanyang Technological University

This project investigates the efficacy of Artificial Intelligence (AI) models, including Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and Support Vector Machines (SVMs), for detecting Partial Discharge (PD) in electrical systems using waveform data. Key to our ap...