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
CNN-Informer-Based Remaining Useful Life Prediction for Ele..:
, In:
2022 4th International Conference on Industrial Artificial Intelligence (IAI)
,
Chen, Shufan
;
Lu, Ningyun
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/IAI55780.2022.9976668
RT T1
2022 4th International Conference on Industrial Artificial Intelligence (IAI)
: T1
CNN-Informer-Based Remaining Useful Life Prediction for Electrical Devices
UL https://suche.suub.uni-bremen.de/peid=ieee-9976668&Exemplar=1&LAN=DE A1 Chen, Shufan A1 Lu, Ningyun YR 2022 K1 Recurrent neural networks K1 Time series analysis K1 Noise reduction K1 NASA K1 Transforms K1 Predictive models K1 Parallel processing K1 Remaining Useful Life (RUL) prediction K1 CNN K1 Informer K1 electrical systems SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IAI55780.2022.9976668 DO https://doi.org/10.1109/IAI55780.2022.9976668 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)