Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Younan, Nicholas H.
Committee Member
Du, Jenny Q.
Committee Member
Grzybowski, Stanislaw
Date of Degree
8-6-2011
Document Type
Graduate Thesis - Open Access
Major
Electrical Engineering
Degree Name
Master of Science
College
James Worth Bagley College of Engineering
Department
Department of Electrical and Computer Engineering
Abstract
Underground power cables encounter various problems caused by manufacturing defects and/or environmental contact. In keeping with the Smart Grid vision, researchers must develop diagnostic techniques that can be utilized to facilitate the decision making processes regarding replacement prior to failure can occur, thereby minimizing impact to customers. Due to the impact of the aging infrastructure and in particular underground polymeric cables, various offline and online methods have been developed for the detection of the remaining life of underground cables. The offline methods require power outage, which can lead to further difficulty in their implementation. Signal processing techniques hold promise to provide real time or near real time diagnostics. In this thesis, three different signal processing techniques; fast Fourier transform, short-time Fourier transform, and wavelet transform; are investigated for identifying and classifying various fault types encountered in underground power cables based on cable current and voltage measurements.
URI
https://hdl.handle.net/11668/17840
Recommended Citation
Pandey, Abhishek, "Application of Digital Signal Processing to Underground Power Cables Fault Detection" (2011). Theses and Dissertations. 702.
https://scholarsjunction.msstate.edu/td/702