A new cross correlation algorithm for Volterra kernel estimation of bilinear systems

1979 ◽  
Vol 24 (4) ◽  
pp. 661-664 ◽  
Author(s):  
R. Baheti ◽  
R. Mohler ◽  
H. Spang
Automatica ◽  
2017 ◽  
Vol 82 ◽  
pp. 324-327 ◽  
Author(s):  
Georgios Birpoutsoukis ◽  
Anna Marconato ◽  
John Lataire ◽  
Johan Schoukens

1993 ◽  
Vol 29 (23) ◽  
pp. 2007 ◽  
Author(s):  
J.G. McRory ◽  
R. Johnston

2016 ◽  
Vol 45 (6) ◽  
pp. 0617003
Author(s):  
范有臣 Fan Youchen ◽  
赵洪利 Zhao Hongli ◽  
孙华燕 Sun Huayan ◽  
郭惠超 Guo Huichao ◽  
赵延仲 Zhao Yanzhong

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4549 ◽  
Author(s):  
Xianjie Rao ◽  
Kai Zhou ◽  
Yuan Li ◽  
Guangya Zhu ◽  
Pengfei Meng

Locating the partial discharge (PD) source is one of the most effective means to locate local defects in power cable lines. The sampling rate and the frequency-dependent characteristic of phase velocity have an obvious influence on localization accuracy based on the times of arrival (TOA) evaluation algorithm. In this paper, we present a cross-correlation algorithm based on propagation distance to locate the PD source in cable lines. First, we introduce the basic principle of the cross-correlation function of propagation distance. Then we verify the proposed method through a computer simulation model and investigate the influences of propagation distance, sampling rate, and noise on localization accuracy. Finally, we perform PD location experiments on two 250 m 10 kV XLPE power cables using the oscillation wave test system. The simulation and experiment results indicate that compared with traditional TOA evaluation methods, the proposed method has superior locating precision.


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