Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithms
author
Khan, Muhammad Amir
Asad, Bilal
Vaimann, Toomas
Kallaste, Ants
Pomarnacki, Raimondas
Hyunh, Van Khang
statement of authorship
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, Ants Kallaste, Raimondas Pomarnacki, Van Khang Hyunh
source
Machines
special issue
Machine Learning and Artificial Intelligence in Machinery Condition Monitoring
publisher
MDPI
journal volume number month
vol. 11, 10
year of publication
2023
pages
art. 963
url
https://doi.org/10.3390/machines11100963
subject term
elektrisüsteemid
tehisõpe
elektriliinid
rikked
kvaliteet
lühis
keyword
electrical power systems
support vector machines
random forest
machine learning
wavelet transform
transmission lines fault
electrical power quality
short circuit
classification of faults
localization of faults
decision trees
ensemble learning
k-nearest neighbors
ISSN
2075-1702
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Electrical machines research group