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Tiejun Cao
Hunan International Economics University

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An Abnormal Signal Diagnostic Emendation Technique Research Tiejun Cao
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper introduced a sort of abnormity data method. We start with analysing an example first and carry through theory deducing once more and list this method arithmetic step and application field finally. With the development information and control technology, we need more and more important and imminent to diagnose abnormity data and eliminate them. The quality of measuring data is improved availably by the application of data emendation technique. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6695 
Compressed Sensing High-accuracy Detection for Electric Power Interharmonics Tiejun Cao; Jingfang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6494-6501

Abstract

Interharmonics frequencies are not integer multiple of the fundamental frequency, and interharmonics amplitudes are far less than fundamental amplitude and harmonics amplitudes,  which mean high sensitivity to desynchronization problems, so it’s dificult to estimate interharmonics.  In this paper, a new method based on random sparse sampling and compressed sensing (CS) Bregman technique was proposed to estimate the interharmonics. The random sam pling has following advantages; alias-free、sampling frequency need not obey the Nyquist limit、and higher frequency resolution. So the random sampling can measure the signals which their frequencies component are close, and can implement the higher frequencies measurement with lower sampling frequency. However,the rangdom sampling exists the noise in spectrum analysis, so it’s difficult to estimate the low amplitude signals. Compressed sensing can work out this problem by designing observation matrix and with the sparsity reconstruction of the signal in the Fourier domain; in addition, the application of CS can estimate the amplitudes and phases of the signals exactly. The results ofexperiments show that the proposed method can estimate the interharmonics exactly,even if the interharmonics frequencies are close the fundam ental frequency and interharmonics amplitudes are far less than fundamental am plitude；and can measure high order interharmonics with lower sam pling frequency.
Voltage Flicker Real-time Detection Based on Recursive Degree Method Tiejun Cao
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Traditional flicker detection methods accurately extract the amplitude envelope as the premise, the complexity of large amount of computation. This paper presents a new real-time detection of voltage flicker method, analysis method with recursive frequency carrier signal frequency; use of the adjacent three-point sampling data, the frequency carrier signal frequency, sampling frequency voltage flicker waveform obtained by the current envelope size. Of harmonic pollution by noise or flicker between the signals, the low-pass filtering results are not affected. Simulation results show that: The method to directly detect flicker signal, the process is simple, computational load and real time, tracking performance, with a certain anti-noise and inter-harmonic interference suppression capability, suitable for real-time detection of voltage flicker. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6826 
Co-Authors Jingfang Wang