Ahmed, Raga; Ofoli, Abdul R.; Hay, Robert
College of Engineering and Computer Science
University of Tennessee at Chattanooga
Place of Publication
Analyzing faults from transmission lines automatically using a computer is a complex, multi-step process that takes a literal understanding of how the computer reads the data. While there are many ways to approach this problem (e.g.. Inductance Calculation), the Square Mean Test method allows for quick, and efficient calculations of any files read in from Intelliruptors. These calculations are then grouped and classified together outside of this project to prioritize faults that need to be looked at.
Special thanks to Jonathan King, Dr. Karrar and Mr. Robert Hay. Jonathan helped me to mathematically find a way to verify the number ranges I saw for Half-Cycle, Quarter-Cycle, and Eighth Cycle analysis. This in itself had stumped me for months before the project was presented, and ultimately just needed someone with a different background to solve. I went to Dr. Karrar a year ago just wanting a second opinion on an idea, and since then, he has been an open book any time I had hit a wall on this project. I thank you for your support as well as am very appreciative of you challenging me to keep pushing the envelope. Mr. Hay, I want to thank you for giving me this opportunity to do research that is practical and applied to what I want to do in life. I never would have expected this project to become my thesis, but I'm glad it worked out the way it did. Every second of this project has been a challenge that was sorely needed to help me grow.
M. A.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Arts.
Electric power systems; Electric power distribution
ix, 54 leaves
Lautigar, Mitch, "Automated transmission line fault analysis the SMT method" (2019). Masters Theses and Doctoral Dissertations.