|
|
发表于 2022-5-28 20:36:52
|
显示全部楼层
FN Clarivate Analytics Web of Science
VR 1.0
PT C
AU Jiang, JA
Fan, PL
Chen, CS
Yu, CS
Sheu, JY
AF Jiang, JA
Fan, PL
Chen, CS
Yu, CS
Sheu, JY
GP IEEE
TI A fault detection and faulted-phase selection approach for transmission
lines with Haar wavelet transform
SO 2003 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE & EXPOSITION,
VOLS 1-3, CONFERENCE PROCEEDINGS: BLAZING TRAILS IN ENERGY DELIVERY AND
SERVICES
DT Proceedings Paper
CT IEEE PES Transmission and Distribution Conference and Exposition
CY SEP 07-12, 2003
CL Dallas, TX
AB Wavelet transform is a novel signal processing technique and has been widely used in many applications, including power system disturbance analysis. Many published woks introduce the wavelet transform as a tool to analyze power system disturbances. In this work, a dyadic wavelet transform based approach, which is used to detect transmission line faults, is proposed. The coefficient of discrete approximation of the dyadic wavelet transform with Haar wavelet is used to be an index for transmission line fault detection and faulted-phase selection. Basic ideas and the proposed algorithm are described in this paper. MATLAB/Simulink is used to generate fault signals and verify the correctness of the algorithm. Simulation results reveal that the performance of the proposed fault detection indicator is promising and easy to implement, for computer relaying application.
C1 Natl Taiwan Univ, Dept Bioind Mechatron Engn, Taipei 106, Taiwan.
RP Jiang, JA (通讯作者)，Natl Taiwan Univ, Dept Bioind Mechatron Engn, Taipei 106, Taiwan.
TC 15
Z9 15
PY 2003
BP 285
EP 289
DI 10.1109/TDC.2003.1335236
UT WOS:000189196900051
DA 2022-05-27
ER
EF |
|
发表于 2021-10-28 14:36:57
