Treffer: Application of digital signal processing to underground power cables fault detection

Title:
Application of digital signal processing to underground power cables fault detection
Authors:
Pandey, Abhishek
Publisher Information:
Mississippi State : Mississippi State University, 2011.
Call Numbers:
TK7 .P3634 2011
Physical Description:
Electronic book in PDF.
Supplemental Data:
Mode of access: Internet via the World Wide Web.
System requirements: Internet connectivity; World Wide Web browser software; Adobe Acrobat Reader.
Subjects:
Signal processing Digital techniques., Underground electric lines., Electric cables., Traitement du signal Techniques numériques., Lignes électriques souterraines., Câbles électriques., electric cables., Electric cables., Signal processing Digital techniques., Underground electric lines.
Index Terms:
Signal processing, Underground power cable, Fault detection, Academic Dissertation, Electronic resources, Electronic theses/dissertations, Master's theses, Academic theses., Academic theses., Thèses et écrits académiques.
URL:
https://hdl.handle.net/11668/17840
Note:
Title from title screen.
Includes bibliographical references.
Other Numbers:
MFM oai:library.msstate.edu:etd-07052011-130953
756488925
Contributing Source:
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.ocn756488925
Database:
OAIster

Weitere Informationen

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.