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
Mechanical Fault Diagnosis of 12 kV Vacuum Circuit Breaker ..:
, In:
2022 China International Conference on Electricity Distribution (CICED)
,
Yang, Qiuyu
;
Zhuang, Zhijian
;
Han, Yun
... - p. 298-302 , 2022
Link:
https://doi.org/10.1109/CICED56215.2022.9929239
RT T1
2022 China International Conference on Electricity Distribution (CICED)
: T1
Mechanical Fault Diagnosis of 12 kV Vacuum Circuit Breaker Based on Vibration Signal Feature Selection and Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9929239&Exemplar=1&LAN=DE A1 Yang, Qiuyu A1 Zhuang, Zhijian A1 Han, Yun A1 Lin, Yuyi A1 Su, Liang A1 Ge, Liang YR 2022 SN 2161-749X K1 Fault diagnosis K1 Vibrations K1 Time-frequency analysis K1 Vacuum systems K1 Circuit breakers K1 Neural networks K1 Power distribution K1 smart power distribution system K1 12 kV vacuum circuit breaker K1 intelligent diagnosis K1 vibration signal K1 ReliefF K1 PSO-BP neural network SP 298 OP 302 LK http://dx.doi.org/https://doi.org/10.1109/CICED56215.2022.9929239 DO https://doi.org/10.1109/CICED56215.2022.9929239 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)