scholarly journals A robust TDOA based solution for source location using mixed Huber loss

2021 ◽  
Vol 32 (6) ◽  
pp. 1375-1380
Author(s):  
You Mingyi ◽  
Lu Annan
Keyword(s):  
Source Location

Leading Edge Detection of RF-Signal for Power Arcing Source Location

2014 ◽  
Vol 9 (5) ◽  
pp. 1060
Author(s):  
Frank Zoko Ble ◽  
Matti Lehtonen ◽  
Ari Sihvola ◽  
Charles Kim
Keyword(s):  
Edge Detection ◽  
Leading Edge ◽  
Source Location ◽  
Rf Signal

Noise source location and scaling of subsonic upper-surface blowing

2020 ◽  
Vol 19 (3-5) ◽  
pp. 191-206
Author(s):  
Trae L Jennette ◽  
Krish K Ahuja
Keyword(s):  
Strouhal Number ◽  
Noise Source ◽  
Low Frequency ◽  
Directivity Pattern ◽  
Source Location ◽  
Dipole Source ◽  
Frequency Noise ◽  
Noise Sources ◽  
Trailing Edge ◽  
Trailing Edge Noise

This paper deals with the topic of upper surface blowing noise. Using a model-scale rectangular nozzle of an aspect ratio of 10 and a sharp trailing edge, detailed noise contours were acquired with and without a subsonic jet blowing over a flat surface to determine the noise source location as a function of frequency. Additionally, velocity scaling of the upper surface blowing noise was carried out. It was found that the upper surface blowing increases the noise significantly. This is a result of both the trailing edge noise and turbulence downstream of the trailing edge, referred to as wake noise in the paper. It was found that low-frequency noise with a peak Strouhal number of 0.02 originates from the trailing edge whereas the high-frequency noise with the peak in the vicinity of Strouhal number of 0.2 originates near the nozzle exit. Low frequency (low Strouhal number) follows a velocity scaling corresponding to a dipole source where as the high Strouhal numbers as quadrupole sources. The culmination of these two effects is a cardioid-shaped directivity pattern. On the shielded side, the most dominant noise sources were at the trailing edge and in the near wake. The trailing edge mounting geometry also created anomalous acoustic diffraction indicating that not only is the geometry of the edge itself important, but also all geometry near the trailing edge.

Fault source location of wind turbine based on heterogeneous nodes complex network

2021 ◽  
Vol 103 ◽  
pp. 104300
Author(s):  
Kai Zhang ◽  
Baoping Tang ◽  
Lei Deng ◽  
Xiaoxia Yu ◽  
Jing Wei
Keyword(s):  
Wind Turbine ◽  
Complex Network ◽  
Source Location ◽  
Heterogeneous Nodes ◽  
Fault Source

scholarly journals Source Location and Suppression of Phase Induced Intensity Noise in Fiber-based Continuous-wave Coherent Doppler Lidar

2021 ◽  
pp. 1-1
Author(s):  
Zheng Tang ◽  
Mengfan Wang ◽  
Wei Fei ◽  
Xiaoyuan Sun ◽  
Benli Yu ◽  
...  
Keyword(s):  
Continuous Wave ◽  
Source Location ◽  
Intensity Noise ◽  
Doppler Lidar ◽  
Coherent Doppler Lidar
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