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 Transformer Fault Diagnosis Based on GWO-CS Opt..:
, In:
2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)
,
Fu, Hua
;
Zhang, Zhaoliang
;
Zhang, Hui
- p. 278-281 , 2023
Link:
https://doi.org/10.1109/ICMSP58539.2023.10170981
RT T1 <cTitle>2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)</cTitle>: T1 <Title>Research on Transformer Fault Diagnosis Based on GWO-CS Optimized SVM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10170981&Exemplar=1&LAN=DE A1 Fu, Hua A1 Zhang, Zhaoliang A1 Zhang, Hui YR 2023 K1 Fault diagnosis K1 Support vector machines K1 Signal processing algorithms K1 Power system stability K1 Signal processing K1 Transformers K1 Stability analysis K1 Grey Wolf Optimization Algorithm K1 Cuckoo Search Algorithm K1 Transformer Fault Diagnosis K1 Support Vector Machine SP 278 OP 281 LK http://dx.doi.org/https://doi.org/10.1109/ICMSP58539.2023.10170981 DO https://doi.org/10.1109/ICMSP58539.2023.10170981 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
