Development of a new detection method of partial discharge for EHV long-distance active cable line

1992 ◽  
Vol 112 (7) ◽  
pp. 77-91 ◽  
Author(s):  
Ginzo Katsuta ◽  
Atsushi Toya ◽  
Takeshi Endoh ◽  
Hiroshi Suzuki ◽  
Yasuo Sekii
Keyword(s):  
Detection Method ◽  
Partial Discharge ◽  
Cable Line ◽  
Long Distance

Development of a Partial Discharge Measuring Method for a Long‐Distance Cable Line

2019 ◽  
Vol 14 (7) ◽  
pp. 996-1001 ◽  
Author(s):  
Nhet Ra ◽  
Nur Sabihah Binti Mustafa ◽  
Tomohiro Kawashima ◽  
Yoshinobu Murakami ◽  
Naohiro Hozumi
Keyword(s):  
Partial Discharge ◽  
Measuring Method ◽  
Cable Line ◽  
Long Distance

scholarly journals Development of a New Detection Method of Partial Discharge for EHV Long-Distance Cable Active Line

1991 ◽  
Vol 111 (11) ◽  
pp. 1223-1232 ◽  
Author(s):  
Ginzo Katsuta ◽  
Atsushi Toya ◽  
Takeshi Endoh ◽  
Hiroshi Suzuki ◽  
Yasuo Sekii
Keyword(s):  
Detection Method ◽  
Partial Discharge ◽  
Long Distance ◽  
Active Line

scholarly journals A peduncle detection method of tomato for autonomous harvesting

2021 ◽  
Author(s):  
Jiacheng Rong ◽  
Guanglin Dai ◽  
Pengbo Wang
Keyword(s):  
Pose Estimation ◽  
Pitch Angle ◽  
Detection Method ◽  
Geometric Model ◽  
Average Error ◽  
Long Distance ◽  
End Effector ◽  
Key Points ◽  
Yaw Angle ◽  
Cutting Point

AbstractFor automating the harvesting of bunches of tomatoes in a greenhouse, the end-effector needs to reach the exact cutting point and adaptively adjust the pose of peduncles. In this paper, a method is proposed for peduncle cutting point localization and pose estimation. Images captured in real time at a fixed long-distance are detected using the YOLOv4-Tiny detector with a precision of 92.7% and a detection speed of 0.0091 s per frame, then the YOLACT +  + Network with mAP of 73.1 and a time speed of 0.109 s per frame is used to segment the close-up distance. The segmented peduncle mask is fitted to the curve using least squares and three key points on the curve are found. Finally, a geometric model is established to estimate the pose of the peduncle with an average error of 4.98° in yaw angle and 4.75° in pitch angle over the 30 sets of tests.

Feature Pyramid Network-based Long-Distance Drone Detection Method

2021 ◽  
Vol 48 (3) ◽  
pp. 325-333
Author(s):  
Jeongin Kwon ◽  
Sohee Son ◽  
Jinwoo Jeon ◽  
Injae Lee ◽  
Jihun Cha ◽  
...  
Keyword(s):  
Detection Method ◽  
Long Distance ◽  
Feature Pyramid

scholarly journals Field verification of a novel and simple partial discharge detection method for generator applications

2020 ◽  
Vol 14 (7) ◽  
pp. 835-843
Author(s):  
Thathsara Herath ◽  
Sarath Kumara ◽  
Kapila Bandara ◽  
Janaka Wijayakulasooriya ◽  
Manjula Fernando ◽  
...  
Keyword(s):  
Detection Method ◽  
Partial Discharge ◽  
Field Verification ◽  
Discharge Detection

Research on Spectral Characteristics of GIS Partial Discharge Ultrasonic Signal

2014 ◽  
Vol 521 ◽  
pp. 405-408 ◽  
Author(s):  
Jie Yan ◽  
Tian Zheng Wang
Keyword(s):  
Detection Method ◽  
Partial Discharge ◽  
Effective Means ◽  
Spectral Characteristics ◽  
Low Frequency ◽  
Ultrasonic Signal ◽  
Center Frequency ◽  
Power Outages ◽  
Detection Technology ◽  
Discharge Detection

The traditional partial discharge detection method is difficult to be use in the scene charged detection because of its low frequency and vulnerable to test interference, need to power outages. Partial discharge detection technology has been international recognized in the application of the technology and research. This paper develop a system which can test the PD and manage the information. This method provide a precise and effective means of detection for charged equipment. Through the simulation of several typical defects, choose the best center frequency of ultrasound.

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