Acoustic Model and Detection Method of Corona Discharge Noise

2015 ◽  
pp. 101-107
Author(s):  
Juan Mo ◽  
Zhiyong Xu ◽  
Lei Wang ◽  
Yi Yun
Keyword(s):  
Corona Discharge ◽  
Detection Method ◽  
Acoustic Model ◽  
Discharge Noise

A STUDY OF CORONA DISCHARGE NOISE IN AIRCRAFT ANTENNAS

1960 ◽  
Author(s):  
A. Vassiliadis
Keyword(s):  
Corona Discharge ◽  
Discharge Noise

Corona Discharge Detection System Based on Ultraviolet Sensor and Optical Lens

2019 ◽  
Vol 14 (12) ◽  
pp. 1686-1692
Author(s):  
Li Luo ◽  
Qing Yang ◽  
Jin-Long Gong ◽  
Yi-Fan Wang
Keyword(s):  
Corona Discharge ◽  
Detection Method ◽  
Detection System ◽  
Ultraviolet Rays ◽  
Detection Distance ◽  
External Interference ◽  
Optical Lens ◽  
Ultraviolet Detection ◽  
Research Results ◽  
Ultraviolet Sensor

Ultraviolet radiation produced by corona discharge can be used for discharge diagnosis, but the ultraviolet imager is expensive and the ultraviolet signal is susceptible to external interference during the day, so it can not accurately identify the occurrence of corona discharge. In this paper, an optical lens is designed to collect ultraviolet signal. In this paper, a corona detection method based on ultraviolet sensor and optical lens was proposed. The design of optical lens to concentrate the ultraviolet signal so as to suppress external interference was presented. By carrying out insulator corona discharge experiments, the feasibility of the proposed method was studied. Finally, a comparison and verification was made with the combination of corona discharge images collected by UV imager. Research results by this paper indicate that, when the detection distance is smaller than 5 m, and the power supply is about 700 V, the proposed corona detection method can effectively collect the ultraviolet rays generated by corona discharge, thus realizing the feasible recognition of corona discharge. Moreover, this method can feasibly reflect the changing of UV intensity with applied voltage and detection distance. The research results can provide important reference for the development and calibration of ultraviolet detection equipment.

Some techniques for the elimination of corona discharge noise in aircraft antennas

1964 ◽  
Vol 52 (1) ◽  
pp. 53-64 ◽  
Author(s):  
J.E. Nanevicz ◽  
R.L. Tanner
Keyword(s):  
Corona Discharge ◽  
Discharge Noise

Detection of UV Pulse from Insulators and Application in Estimating the Conditions of Insulators

2014 ◽  
Vol 15 (5) ◽  
pp. 443-448 ◽  
Author(s):  
Jingang Wang ◽  
Junlong Chong ◽  
Jie Yang
Keyword(s):  
Power Systems ◽  
Corona Discharge ◽  
Electric Fields ◽  
Online Monitoring ◽  
Detection Method ◽  
Field Tests ◽  
Voltage Distribution ◽  
Safe Operation ◽  
Pulse Detection ◽  
Solar Blind

Abstract Solar radiation in the band of 240–280 nm is absorbed by the ozone layer in the atmosphere, and corona discharges from high-voltage apparatus emit in air mainly in the 230–405 nm range of ultraviolet (UV), so the band of 240–280 nm is called UV Solar Blind Band. When the insulators in a string deteriorate or are contaminated, the voltage distribution along the string will change, which causes the electric fields in the vicinity of insulators change and corona discharge intensifies. An UV pulse detection method to check the conditions of insulators is presented based on detecting the UV pulse among the corona discharge, then it can be confirmed that whether there exist faulty insulators and whether the surface contamination of insulators is severe for the safe operation of power systems. An UV-I Insulator Detector has been developed, and both laboratory tests and field tests have been carried out which demonstrates the practical viability of UV-I Insulator Detector for online monitoring.

Solid-phase immunoelectron microscopy for rapid diagnosis of enteroviruses

1984 ◽  
Vol 42 ◽  
pp. 226-227 ◽  
Author(s):  
K. Pegg-Feige ◽  
F. W. Doane
Keyword(s):  
Electron Microscopy ◽  
Cell Culture ◽  
Immunoelectron Microscopy ◽  
Detection Method ◽  
Solid Phase ◽  
Protein A ◽  
Plant Viruses ◽  
Rapid Diagnosis ◽  
Virus Diagnosis ◽  
Antiviral Antibody

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.

Detection method and stage in BRCA1/2 mutation carriers

2002 ◽  
Vol 38 (11) ◽  
pp. S163
Author(s):  
R Kaas
Keyword(s):  
Detection Method ◽  
Mutation Carriers

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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