print

A public dataset for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers

author
Sun, Zhenglong
Machlev, Ram
Wang, Qianchao
Belikov, Juri
Levron, Yoash
Baimel, Dmitry
statement of authorship
Zhenglong Sun, Ram Machlev, Qianchao Wang, Juri Belikov, Yoash Levron, Dmitry Baimel
source
Energy and AI
publisher
Elsevier B.V.
journal volume number month
vol. 14
year of publication
2023
pages
art. 100274
url
https://doi.org/10.1016/j.egyai.2023.100274
subject term
klassifitseerimine
mudelid
süvaõpe
mootorid
andmekogumine
rikked
keyword
classification
CNN LSTM
deep-learning
motor faults
public data-set
synchronous motors
ISSN
2666-5468
notes
Bibliogr.: 53 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Energy
Computer science
category (sub)
Engineering. Engineering (miscellaneous)
Computer science. Artificial intelligence
Energy. General energy
kvartiil
Q1
TTÜ department
tarkvarateaduse instituut
language
inglise
Sun, Z., Machlev, R., Wang, Q., Belikov,J., Levron, Y., Baimel, D. A public dataset for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers // Energy and AI (2023) vol. 14, art. 100274. https://doi.org/10.1016/j.egyai.2023.100274