Q, R, and S values for different disturbances.

<div><p>There has been a lack of a satisfactory solution for identifying and locating evolving faults in unbalanced distribution systems. The proposed approach is based on the cross-correlation technique as a key element for fault detection and location. Evolving faults, in this context,...

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Bibliographic Details
Main Author:	Balamurali Krishna Ponukumati (19864775) (author)
Other Authors:	Pampa Sinha (19864778) (author), Kaushik Paul (19864781) (author), Daniel Eutyche Mbadjoun Wapet (17334207) (author), Hany S. Hussein (17854653) (author), Ammar M. Hassan (14883438) (author), Mohamed Metwally Mahmoud (15213516) (author)
Published:	2024
Subjects:	Genetics Molecular Biology Evolutionary Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified unbalanced distribution systems typical system occurrences best monitoring points two sequential faults short circuit fault locating evolving faults identify evolving faults second fault occurrence evolving faults evolving fault country faults accurately identify fault phase fault detection xlink "> uncover defects time simulator suggested technique suggested approach simulations reveal satisfactory solution sample frequency rigorous simulations proposed approach one another makes use key element given point correlation technique constantly changing accurately differentiated
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Q, R, and S values for different disturbances.

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