scholarly journals Research on Detection Technology of Corona Discharge Fault in Power Equipment

2017 ◽  
Author(s):  
Hua Huang ◽  
Fangwu Liu ◽  
Shidong Yuan ◽  
Rong Xiao ◽  
Kun Ding
Keyword(s):  
Corona Discharge ◽  
Power Equipment ◽  
Detection Technology

scholarly journals Research on Pressure-based Detection Technology for Partial Overheat Insulation Defect of Oil-less Power Equipment

2021 ◽  
Vol 632 ◽  
pp. 042009
Author(s):  
Qunying Yu ◽  
He Liu ◽  
Qiuyue He ◽  
Guozhi Zhang ◽  
Zheliang Zhang ◽  
...  
Keyword(s):  
Power Equipment ◽  
Detection Technology ◽  
Insulation Defect

scholarly journals Diagnosis and Classification Decision Analysis of Overheating Defects of Substation Equipment Based on Infrared Detection Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhigang Shi ◽  
Yunlong Zhao ◽  
Zhanshuang Liu ◽  
Yanan Zhang ◽  
Le Ma
Keyword(s):  
Recognition Accuracy ◽  
Infrared Image ◽  
Normal Operation ◽  
Power Equipment ◽  
Relative Temperature ◽  
Thermal Failure ◽  
Detection Technology ◽  
Diagnosis And Classification ◽  
Substation Equipment ◽  
Infrared Diagnosis

Substation equipment is not only the main part of the power grid but also the essential part to ensure the development of the national economy and People's Daily life of one of the important infrastructure. How to ensure its normal operation and find the sudden failure has become a hot issue to be solved urgently. For thermal fault diagnosis needs to classify and identify different power equipment first, this paper designed an SVM infrared image classifier, which can effectively identify three types of common power equipment. The classifier extracts HOG features from the infrared images of power equipment processed by the above segmentation and combines them with SVM multiclassification to achieve the purpose of improving the recognition accuracy. The experiment uses the classifier to identify three kinds of equipment, and the results show that the comprehensive recognition accuracy of the classifier is more than 95.3%, which is better than the traditional classification method and meets the demand for classification accuracy. In this paper, the traditional method of relative temperature difference is improved by using the temperature data of the infrared image, which can automatically judge the thermal failure level of electric power equipment. Experiments show that the diagnosis system designed in this paper can classify faults and give treatment suggestions while judging whether there are thermal faults for three types of power equipment, which verifies the feasibility and effectiveness of the substation infrared diagnosis technology designed in this paper.

scholarly journals Temperature detection technology of power equipment based on Fiber Bragg Grating

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 663-667
Author(s):  
Xin Zhang ◽  
Zui Tao ◽  
Li Yang
Keyword(s):  
High Reliability ◽  
Signal Transmission ◽  
Electrical Power ◽  
System Control ◽  
Alarm System ◽  
Power Equipment ◽  
Single Cycle ◽  
Detection Technology ◽  
Temperature Detection ◽  
Fabry Perot

Abstract The temperature detection and alarm system of power equipment is supposed to be used in power accidents caused by overheating. In our experiment, we build a system to detect the temperature of electrical power equipment. According to the actual temperature fitting curve, the whole system uses the Fiber Bragg Gratings as the signal sensing and transmission media, using the tunable Fabry-Perot (FP) cavity filter to demodulate the fiber and a SLED light source which is considered high reliability. System control and signal processing is carried out by the STM32F407ZGT6 microcontroller and its internal single-cycle DSP. The system has the characteristics of strong anti-interference ability, high reliability and precision, simple installation, convenient maintenance, remote signal transmission.

On-line image readout in CTEM

1994 ◽  
Vol 52 ◽  
pp. 400-401
Author(s):  
K.-H. Herrmann ◽  
W. D. Rau ◽  
R. Sikeler
Keyword(s):  
Primary Electron ◽  
Digital Information ◽  
Electron Hole ◽  
Detection Technology ◽  
Long Time ◽  
On Line ◽  
Electron Image ◽  
Optical Transfer ◽  
Detection Quantum Efficiency ◽  
Technical Solutions

Quantitative recording of electron patterns and their rapid conversion into digital information is an outstanding goal which the photoplate fails to solve satisfactorily. For a long time, LLL-TV cameras have been used for EM adjustment but due to their inferior pixel number they were never a real alternative to the photoplate. This situation has changed with the availability of scientific grade slow-scan charged coupled devices (CCD) with pixel numbers exceeding 106, photometric accuracy and, by Peltier cooling, both excellent storage and noise figures previously inaccessible in image detection technology. Again the electron image is converted into a photon image fed to the CCD by some light optical transfer link. Subsequently, some technical solutions are discussed using the detection quantum efficiency (DQE), resolution, pixel number and exposure range as figures of merit.A key quantity is the number of electron-hole pairs released in the CCD sensor by a single primary electron (PE) which can be estimated from the energy deposit ΔE in the scintillator,

Assessment of different ti-rads systems using computer-aided detection technology

2019 ◽  
Author(s):  
Kuen-Yuan Chen ◽  
Ming-Hsun Wu ◽  
Chiung-Nien Chen ◽  
Argon Chen
Keyword(s):  
Computer Aided Detection ◽  
Detection Technology ◽  
Computer Aided

Study on Defect Detection Technology for Bridge Deck Pavements

2017 ◽  
Vol 19 (6) ◽  
pp. 38
Author(s):  
Chengchao Guo ◽  
Pengfei Xu ◽  
Can Cui
Keyword(s):  
Defect Detection ◽  
Bridge Deck ◽  
Detection Technology
Sign in / Sign up

Export Citation Format

Share Document