Spatio-temporal approach to fault detection and isolation using graph signal processing: application to transmission and distribution power networks

dc.contributor.advisor	Srinivasan, Babji
dc.contributor.author	Oza, Harsh
dc.date.accessioned	2025-04-25T14:23:44Z
dc.date.available	2025-04-25T14:23:44Z
dc.date.issued	2018
dc.identifier.citation	Oza, Harsh (2018). Spatio-temporal approach to fault detection and isolation using graph signal processing: application to transmission and distribution power networks. Gandhinagar: Indian Institute of Technology Gandhinagar, 29p. (Acc. No.: T00322).
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/11357
dc.description.statementofresponsibility	by Harsh Oza
dc.format.extent	vii, 29p.: ill.; 29 cm.
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	Distribution Network
dc.subject	Signal Processing
dc.subject	16210038
dc.subject	Distribution Network
dc.subject	Signal Processing
dc.subject	Interlinked Structures
dc.subject	Graph Signal Processing
dc.subject	Windowed Graph Fourier Transform
dc.title	Spatio-temporal approach to fault detection and isolation using graph signal processing: application to transmission and distribution power networks
dc.type	Thesis
dc.contributor.department	Electrical Engineering
dc.description.degree	M.Tech.