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
Condition Assessment of Metal Oxide Surge Arrester Using Ma..:
, In:
2023 IEEE 3rd Applied Signal Processing Conference (ASPCON)
,
Dhar, Joydip
;
Chatterjee, Biswendu
;
Maur, Subhajit
.. - p. 166-170 , 2023
Link:
https://doi.org/10.1109/ASPCON59071.2023.10396141
RT T1 <cTitle>2023 IEEE 3rd Applied Signal Processing Conference (ASPCON)</cTitle>: T1 <Title>Condition Assessment of Metal Oxide Surge Arrester Using Machine Learning Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10396141&Exemplar=1&LAN=DE A1 Dhar, Joydip A1 Chatterjee, Biswendu A1 Maur, Subhajit A1 Biswas, Subrata A1 Dalai, Sovan YR 2023 K1 Arresters K1 Metals K1 Feature extraction K1 Pollution measurement K1 Leakage currents K1 Surges K1 Monitoring K1 Metal Oxide Surge Arrester K1 Resistive Leakage Current K1 Condition Monitoring K1 SVM K1 Machine Learning SP 166 OP 170 LK http://dx.doi.org/https://doi.org/10.1109/ASPCON59071.2023.10396141 DO https://doi.org/10.1109/ASPCON59071.2023.10396141 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
