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
A Method of Bearing Fault Feature Pattern Recognition Based..:
, In:
2022 Prognostics and Health Management Conference (PHM-2022 London)
,
Li, He
;
Ji, Feng
;
Dai, Kang
- p. 395-398 , 2022
Link:
https://doi.org/10.1109/PHM2022-London52454.2022.00075
RT T1 <cTitle>2022 Prognostics and Health Management Conference (PHM-2022 London)</cTitle>: T1 <Title>A Method of Bearing Fault Feature Pattern Recognition Based on Improved ACGAN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9808782&Exemplar=1&LAN=DE A1 Li, He A1 Ji, Feng A1 Dai, Kang YR 2022 SN 2166-5656 K1 Fault diagnosis K1 Training K1 Convolution K1 Neural networks K1 Network architecture K1 Generative adversarial networks K1 Pattern recognition K1 Fault Diagnosis K1 neural network K1 GAN K1 Resnet K1 convolutional neural network SP 395 OP 398 LK http://dx.doi.org/https://doi.org/10.1109/PHM2022-London52454.2022.00075 DO https://doi.org/10.1109/PHM2022-London52454.2022.00075 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
