I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Research on Interturn Short Circuit Fault Diagnosis of Perm..:
, In:
2023 6th International Conference on Renewable Energy and Power Engineering (REPE)
,
Chai, Xiaopeng
;
Wang, Dazhi
;
Song, Keling
... - p. 175-179 , 2023
Link:
https://doi.org/10.1109/REPE59476.2023.10511548
RT T1 <cTitle>2023 6th International Conference on Renewable Energy and Power Engineering (REPE)</cTitle>: T1 <Title>Research on Interturn Short Circuit Fault Diagnosis of Permanent Magnet Synchronous Generator Based on CWGAN-GP and CNN-TSA-GRU</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10511548&Exemplar=1&LAN=DE A1 Chai, Xiaopeng A1 Wang, Dazhi A1 Song, Keling A1 Ni, Yongliang A1 Li, Yanming A1 Sun, Guofeng YR 2023 SN 2771-7011 K1 Fault diagnosis K1 Feature extraction K1 Generative adversarial networks K1 Permanent magnet motors K1 Data models K1 Robustness K1 Permanent magnets K1 permanent magnet synchronous motor K1 fault diagnosis K1 conditional Wasserstein Generative adversarial network K1 deep learning K1 CNN-TSA-GRU SP 175 OP 179 LK http://dx.doi.org/https://doi.org/10.1109/REPE59476.2023.10511548 DO https://doi.org/10.1109/REPE59476.2023.10511548 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
