UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation

UAS-Guided Analysis of Electric and Magnetic Field Distribution in High-Voltage Transmission Lines (Tx) and Multi-Stage Hybrid Machine Learning Models for Battery Drain Estimation

Unmanned aerial systems/vehicles (UAS/UAVs) are increasingly utilized for inspecting high-voltage (HV) Tx lines. Operating on batteries, these UAVs are equipped with various electrical sensors, microprocessors, and motors. All of these sensors are susceptible to electric (E) and magnetic (H) fields,...

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Bibliographic Details
Main Authors: Tanzim Jim Hassan, Jamison Jangula, Akshay Ram Ramchandra, Niroop Sugunaraj, Barathwaja Subash Chandar, Prashanth Rajagopalan, Farishta Rahman, Prakash Ranganathan, Ryan Adams
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Battery
electric field
hybrid model
KNN regressor
machine learning
magnetic field
Online Access:https://ieeexplore.ieee.org/document/10509673/
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