The Engineering Technical College – Basra discussed a master’s thesis on deep learning techniques to detect faults in high voltage transmission lines by relying on drones (for graduate student Saja Raad Abdul Bari in the Electrical Power Engineering Department, in the presence of the Dean of the College, Prof.Dr. Adnan Abdullah Ateeq.
The study concluded that examining faults and damages in the high voltage transmission line is not only unsafe and expensive, but it is also a time-consuming process.In addition, it requires highly skilled labor to work tens of meters above the ground on cables carrying thousands of volts.
Air inspections or foot patrols are the most common strategy for detecting and inquiring about faults in high-voltage power transmission lines during monitoring, which makes maintenance ineffective and cumbersome.
The use of a helicopter in this inspection may endanger human life. To overcome these limitations, unmanned aerial vehicles (UAV) technology has been developed that allows rapid and efficient inspection of high voltage power lines.
The results showed that the flying behavior of UAVs when modeled using the kinematic system of the quadcopter.
It concluded that the design of the proposed smart control unit for the car sonar tracker device could be an effective (safe and cost-effective) solution to efficiently detect and repair faults in high voltage transmission lines, and the researcher obtained a good high rating.
