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
Ensemble decision approach with dislocated time–frequency r..:
Wang, Jinhai
;
Yang, Jianwei
;
Wang, Yuzhu
...
International Journal of Rail Transportation. 10 (2021) 5 - p. 655-673 , 2021
Link:
https://doi.org/10.1080/23248378.2021.2000897
RT Journal T1
Ensemble decision approach with dislocated time–frequency representation and pre-trained CNN for fault diagnosis of railway vehicle gearboxes under variable conditions
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_23248378.2021.2000897&Exemplar=1&LAN=DE A1 Wang, Jinhai A1 Yang, Jianwei A1 Wang, Yuzhu A1 Bai, Yongliang A1 Zhang, Tieling A1 Yao, Dechen PB Informa UK Limited YR 2021 SN 2324-8378 SN 2324-8386 JF International Journal of Rail Transportation VO 10 IS 5 SP 655 OP 673 LK http://dx.doi.org/https://doi.org/10.1080/23248378.2021.2000897 DO https://doi.org/10.1080/23248378.2021.2000897 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)