MOA Resistive Current On-Line Monitoring and Expert Diagnosis System

2013 ◽  
Vol 433-435 ◽  
pp. 856-860 ◽  
Author(s):  
Meng Meng Wu ◽  
Jun Xu ◽  
Bo Yi
Keyword(s):  
Metal Oxide ◽  
Data Processing ◽  
Harmonic Analysis ◽  
Historical Data ◽  
Measurement Data ◽  
Environmental Parameters ◽  
Analysis Method ◽  
Diagnosis System ◽  
On Line ◽  
Harmonic Analysis Method

This paper presents metal oxide arresters (MOA) resistive current on-line monitoring and expert diagnosis system. The system combined the harmonic analysis method and the compensation method to measure the MOA resistive current. The on-line monitoring system used MAX11046 for signal A/D conversion and TMS320F2812 DSP for data processing. It used IEC 60870-5-103 protocol to upload the data to the expert diagnosis system through the RS-485 bus. Based on the real-time monitoring data, the historical data and the environmental parameters, the expert diagnosis system can analyze and judge the MOA status. The system adopted many anti-jamming measures to make the measurement data stable and accurate. The results show that the resistive current of the 35KV MOA fluctuates based on 20μA.

scholarly journals Application of a non-linear damped harmonic analysis method to the normal modes of the Earth

2008 ◽  
Vol 45 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Severine Rosat ◽  
Toshio Fukushima ◽  
Tadahiro Sato ◽  
Yoshiaki Tamura
Keyword(s):  
Harmonic Analysis ◽  
Normal Modes ◽  
Analysis Method ◽  
The Earth ◽  
Non Linear ◽  
Harmonic Analysis Method

scholarly journals RANDOM NOISE ASSESSMENT IN AERIAL AND SATELLITE IMAGES

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 771-775
Author(s):  
I. Anikeeva ◽  
A. Chibunichev
Keyword(s):  
Harmonic Analysis ◽  
Satellite Images ◽  
Image Quality Assessment ◽  
Random Noise ◽  
Satellite Image ◽  
Image Noise ◽  
Analysis Method ◽  
Random Image ◽  
Noise Assessment ◽  
Harmonic Analysis Method

Abstract. Random noise in aerial and satellite images is one of the factors, decreasing their quality. The noise level assessment in images is paid not enough attention. The method of numerical estimation of random image noise is considered. The object of the study is the image noise estimating method, based on harmonic analysis. The capability of using this method for aerial and satellite image quality assessment is considered. The results of the algorithm testing on model data and on real satellite images with different terrain surfaces are carried out. The accuracy estimating results for calculating the root-mean-square deviation (RMS) of random image noise by the harmonic analysis method are shown.

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