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 the Transformer Fault Diagnosis Method Based on..:
, In:
2022 International Conference on Intelligent Computing and Machine Learning (2ICML)
,
Li, Zhi
;
Qian, Yihua
;
Wang, Qing
. - p. 42-46 , 2023
Link:
https://doi.org/10.1109/2ICML58251.2022.00018
RT T1
2022 International Conference on Intelligent Computing and Machine Learning (2ICML)
: T1
Research on the Transformer Fault Diagnosis Method Based on LSTM Artificial Neural Network and DGA
UL https://suche.suub.uni-bremen.de/peid=ieee-10218519&Exemplar=1&LAN=DE A1 Li, Zhi A1 Qian, Yihua A1 Wang, Qing A1 Zhao, Yaohong YR 2023 K1 Training K1 Oils K1 Training data K1 Artificial neural networks K1 Oil insulation K1 Dissolved gas analysis K1 Transformers K1 dissolved gases analysis K1 transformer oil K1 long-term and short-term memory artificial neural network K1 fault diagnosis SP 42 OP 46 LK http://dx.doi.org/https://doi.org/10.1109/2ICML58251.2022.00018 DO https://doi.org/10.1109/2ICML58251.2022.00018 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)