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 Hyper-ellipsoidal Support Vector Data Description Increme..:
, In:
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)
,
LU, Minglei
;
QIU, Siqi
;
CHEN, Xin
.. - p. 1-6 , 2020
Link:
https://doi.org/10.1109/PHM-Shanghai49105.2020.9280963
RT T1 <cTitle>2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai)</cTitle>: T1 <Title>A Hyper-ellipsoidal Support Vector Data Description Incremental Learning Method for Bearing Fault Diagnosis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9280963&Exemplar=1&LAN=DE A1 LU, Minglei A1 QIU, Siqi A1 CHEN, Xin A1 KONG, Chunfeng A1 Cheng, Yingmao YR 2020 K1 Fault diagnosis K1 Training K1 Learning systems K1 Support vector machine classification K1 Rolling bearings K1 Feature extraction K1 Data models K1 bearing fault diagnosis K1 incremental learning K1 feature extraction K1 SVDD K1 fuzzy logic SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/PHM-Shanghai49105.2020.9280963 DO https://doi.org/10.1109/PHM-Shanghai49105.2020.9280963 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
