FAULT DETECTION IN TRANSMISSION LINES USING ARTIFICIAL INTELLIGENCE

Simple item page
dc.contributor.authorSameer Othman
dc.contributor.authorAbdelkareem Kukhun
dc.contributor.authorKhaled Azaizeh
dc.date.accessioned2025-07-17T08:48:24Z
dc.date.available2025-07-17T08:48:24Z
dc.date.issued2025
dc.description.abstractMaintaining continuous power is very important for any modern infrastructure. Still, power transmission lines are likely to develop faults as a result of weather conditions, aged equipment, or contact with humans or animals. According to studies, traditional approaches to finding faults are not very accurate and are delayed. It presents a low-cost approach using Artificial Intelligence (AI) to locate and identify problems in a small-scale transmission line. The system gathers data using ACS712 and ZMPT101B sensors on Arduino and Raspberry Pi boards, and then this data is processed by a neural network. It also quickly spots an issue in the power grid and pinpoints the specific zone that has a fault. It is vital to keep power lines operational, but they often experience faults. Modern grids make it difficult for traditional ways of detecting faults. The paper outlines how a low-cost Artificial Intelligence system was built with Arduino and Raspberry Pi, along with sensors (ACS712 and ZMPT101B), to spot and mark problems on a laboratory electricity line model as they happen. The ANN was trained by using data that came from experiments with simulated normal and faulty conditions in eight zones. The system performed well by correctly locating every fault and its exact area when tested in real time. The approach allows for AI to be deployed easily on edge devices, thus helping to link the analysis done in simulations with practical applications in the real world. The process consists of collecting data with Arduino, training and predicting with Python, and identifying faults right away with the help of digital output signals.
dc.identifier.urihttps://hdl.handle.net/20.500.11888/20265
dc.supervisorDr. Imad brik
dc.titleFAULT DETECTION IN TRANSMISSION LINES USING ARTIFICIAL INTELLIGENCE
Files
Original bundle
Now showing 1 - 4 of 4
Thumbnail Image
Name:
Fault_Detection_in_Transmission_Lines_Using_Artificial_Intelligence (1).pptx
Size:
838.58 KB
Format:
Microsoft Powerpoint XML
Description:
Download
Thumbnail Image
Name:
Fault_Detection_In_Transmission_using_AI.pdf
Size:
5.05 MB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
الملخص_Fault Detection In Transmission using AI.docx
Size:
27.53 KB
Format:
Microsoft Word XML
Description:
Download
Thumbnail Image
Name:
abstract_Fault Detection_In_Transmission_using_AI.docx
Size:
14.01 KB
Format:
Microsoft Word XML
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Electrical Engineering