• Title/Summary/Keyword: Electrical signals

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Investigation of Degradative Signals on Outdoor Solid Insulators Using Continuous Wavelet Transform

  • Uzunoglu, Cengiz Polat
    • Journal of Electrical Engineering and Technology
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    • v.11 no.3
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    • pp.683-689
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    • 2016
  • Most outdoor solid insulators may suffer from surface degradations due to non-stationary currents that flow on the insulator surface. These currents may be classified as leakage, discharge and tracking currents due to their disturbing potencies respectively. The magnitude of these currents depends on the degree of the contamination of surface. The leakage signals are followed by discharge signals and tracking signals which are capable of forming carbonized tracking paths on the surface between high voltage and earth contacts (surface tracking). Surface tracking is one of the most breakdown mechanisms observed on the solid insulators, especially polymers which may cause severely reduced lifetime. In this study the degradations observed on polyester resin based insulators are investigated according to the IEC 587 Inclined Plane Test Standard. The signals are monitored and recorded during tests until surface tracking initiated. In order to prevent total breakdown of an insulator, early detection of tracking signals is vital. Continuous Wavelet Transform (CWT) is proposed for classification of signals and their energy levels observed on the surface. The application of CWT for processing and classification of the surface signals which are prone to display high frequency oscillations can facilitate real time monitoring of the system for diagnosis.

A method to reject noise signals in partial discharge signals of turbine generator (터빈 발전기의 부분방전 신호 중 노이즈 제거 방법)

  • Park, Y.H.;Park, P.G.;Kim, S.H.
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.240-242
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    • 2005
  • It is well known that the PD (Partial Discharge) signals are generated if insulators have some defects such as voids in electrical facility and various PD detection methods are developed for preventing electrical troubles. So, an interest for the PD signals is higher and higher according to the high concern for the defects detection method of the aging electrical facility. When the equipment to detect PD signals installed at site and it works, a lot of noises flow in the equipment from surrounding situation and it will be mixed with original PD waveform. So we can not get the desired PD waveform. Therefore, there are many trial to reject or suppress the noise from the PD signals from long times ago. The greater of them used the hardware such as bridge circuits and frequency filters to suppress the noise. This paper proposed a novel noise rejection method in acquired data from PD detection equipment. The noise has the irregular phase and higher signal level than real PD, and noise decision is performed after inspection of pulse distribution in ${\Phi}$-q-n graph of acquired data from PD detection equipments. By experimental results on high voltage electric equipments, it is shown that proposed method has good performance. It is expected that this noise rejection technology is useful in numeric calculation and trend management of PD level.

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Time-domain Estimation Algorithm for Ultrasonic Attenuation using Narrow-filtered Signals (협대역 초음파 신호를 이용한 시간 영역에서의 감쇠 지수 예측)

  • Shim, Jaeyoon;Hur, Don;Kim, Hyungsuk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.11
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    • pp.1887-1893
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    • 2016
  • The VSA(Video Signal Analysis) method is the time-domain approach for estimating ultrasonic attenuation which utilizes the envelop signals from backscattered rf signals. The echogenicity of backscattered ultrasonic signals, however, from deeper depths are distorted when the broadband transmit pulse is used and it degrades the estimation accuracy of attenuation coefficients. We propose the modified VSA method using adaptive bandpass filters according to the centroid shift of echo signals as a pulse propagates. The technique of dual-reference diffraction compensation is also proposed to minimize the estimation errors because the difference of attenuation properties between the reference and sample aggravates the estimation accuracy when the differences are accumulated in deeper depth. The proposed techniques minimize the distortion of relative echogenicity and maximize the signal-to-noise ratio at the given depth. Simulation results for numerical tissue-mimicking phantoms show that the Rectangular-shaped filter with the appropriate center frequency exhibits the best estimation performance and the technique of the dual-reference diffraction compensation dramatically improves accuracy for the region after the beam focus.

Development of Measuring Techniques for High Voltage Impulse and Small Signals using Pockels Cell (포켈스 소자를 이용한 고전압 임펄스 및 미소신호 측정기술 개발)

  • Hong, J.Y.;Lee, J.B.;Chang, Y.M.;Koo, J.Y.
    • Proceedings of the KIEE Conference
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    • 1994.07b
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    • pp.1571-1573
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    • 1994
  • In order to substitute for the conventional measuring system which could bring about technical inconveiences, measuring techniques for the fast transient high voltage upto 100 kV and small signals less than 1 V are developed by use of Laser Source with Packets cell. for the former, capacitive voltage divider was specially designed for reducing the impulse voltage less than the half-wave voltage of pockets cell. For the tatter, interferometer type was employed as a mean to removing the fluctuation of Laser output intensity. And also the main beam through the Pockels cell and the reference beam from the Laser source are seperated before being detected respectively by photo diodes. And then, these two signals are amplified and compared for detecting only the small signals applied across the Pockels cell. Throughout this work, Laser-based measuring system is likely to enable us, at this moment, to detect correctly lightning impulse voltage upto 100 kV and the small signals less than 1 V upto the 2 MHz. Such a system could be employed as a possible diagnostic measuring system at the substation.

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Extraction of Series Arc Signals Based on Wavelet Transform in an Indoor Wiring System

  • Ji, Hong-Keun;Cho, Young-Jin;Wang, Guoming;Hwang, Seong-Cheol;Kil, Gyung-Suk
    • Transactions on Electrical and Electronic Materials
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    • v.18 no.4
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    • pp.221-224
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    • 2017
  • This paper dealt with the extraction of series arc signals based on wavelet transform in order to improve the accuracy of arc detection in indoor wiring systems. Three types of arc sources including a cord-cord, a terminal-cord, and an outlet-plug were fabricated to simulate typical arc defects. An arc generator fabricated according to UL 1699 was used to generate arcs. The optimal mother wavelet was selected as bior1.5 by calculating the correlation coefficients between the detected single current pulse and the wavelet. The detected arc current signals were then decomposed into eight levels using the discrete wavelet transform that implements the multi-resolution analysis method. By analyzing the decomposed components, the detail components D6, D7, and D8 were associated with arc signals, which were used for signal reconstruction. From the result, it was verified that the proposed method can be used for the extraction of the series arc signal from the AC mains, which is expected to be applied to further analysis of arc signals in indoor wiring systems.

Analysis of MRPC Probe Signal According to Defect Size Variation for S/G Tube in Nuclear Power Plant (원전SG세관의 결함크기에 따른 MRPC 프로브의 신호 해석)

  • Kim, Ji-Ho;Song, Ho-Jun;Lim, Keon-Gyu;Lee, Hyang-beom
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1008-1010
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    • 2005
  • In the examination of steam generator(SG) tube in nuclear power plant, eddy current testing probes play an important role in detecting the defects. Bobbin probe and MRPC probe is usually used for the inspection of SG tube. Bobbin probe is good at high speed inspection, but ability of detection of circumferential defect is very weak. On the contrary MRPC probe, which moves for inspection in the direction of axial and circumferential simultaneously, has very slow inspection speed, but it has excellent detection capability for small cracks, which is hardly detected by bobbin probe. In this paper, for the accurate analysis of experimental ECT signals, construction of MRPC probe signals database according to the variation of defect size is the main purpose. Using 3-D finite element method, ECT signals are analyzed, and signals analysis add according to frequency ingredient. The results, which are analysis and characteristics ion of electromagnetism simulation signals, is databased.

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Optical Signals Using Superposition of Optical Receiver Modes

  • Lee, Jae Seung
    • Current Optics and Photonics
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    • v.1 no.4
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    • pp.308-314
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    • 2017
  • A particular optical receiver has its own optical receiver modes (ORMs) determined by its optical and electrical filters. Superposing the ORM waveforms at the transmitter, we can generate a new type of optical signals, called ORM signals. After optical detection, they produce pre-specified voltage waveforms accurately, which is advantageous for digital signal processing. Assuming a Gaussian optical receiver, where the optical and electrical filters are Gaussian, we illustrate various phase-shift keying ORM signals using two ORMs by changing their relative phase. We also illustrate multi-level ORM signal patterns using two or more ORMs.

Diagnosis of Cable Splices by Analysis of Ultrasonic Signals (초음파신호 분석에 의한 케이블 접속재 열화진단 연구)

  • Chin, Sang-Bum;Park, Chi-Young;Kwak, Hee-Ro;Kweon, Dong-Jin;Song, Il-Keun
    • Proceedings of the KIEE Conference
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    • 1996.07c
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    • pp.1801-1803
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    • 1996
  • This paper describes a diagnosis of cable splices by analysis of ultrasonic signals which is generated by partial discharge. Peak-peak amplitude of ultrasonic signals was used to diagnose cable splices. It is proposed that aging discrimination is possible by analysis of ultrasonic signals in cable splices.

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A Study on Speech Separation in Cochannel using Sinusoidal Model (Sinusoidal Model을 이용한 Cochannel상에서의 음성분리에 관한 연구)

  • Park, Hyun-Gyu;Shin, Joong-In;Park, Sang-Hee
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.597-599
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    • 1997
  • Cochannel speaker separation is employed when speech from two talkers has been summed into one signal and it is desirable to recover one or both of the speech signals from the composite signal. Cochannel speech occurs in many common situations such as when two AM signals containing speech are transmitted on the same frequency or when two people are speaking simultaneously (e. g., when talking on the telephone). In this paper, the method that separated the speech in such a situation is proposed. Especially, only the voiced sound of few sound states is separated. And the similarity of the signals by the cross correlation between the signals for exactness of original signal and separated signal is proved.

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Normalization Diagnosis of Aging Process on Partial Discharge Signals of CV Cable (CV케이블의 부분방전 신호를 통한 열화과정의 정량적 진단)

  • 소순열;임장섭;김진사;이준웅;김태성
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1997.11a
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    • pp.451-455
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    • 1997
  • The partial discharge has been blown as the chief breakdown of power equipments. The analysis and the recognition is much difficult because the partial discharge signal is very small and has complex aging pattern. Recently, insulation aging diagnosis based on pattern of phase(Ф), partial discharge magnitude(q), number(n) has been very important. Owing to depreciate the reappearance of aging progress at the electrical tree pattern and to be difficult to analyze visually, the study on partial discharge pattern is suggested to normalizing analysis method of partial discharge signals. This parer is purposed on prediction of life-time measurement of cv-cable, on decision of risk degree with normalization and real-time measurement of partial discharge signals for aging diagnosis of cv-cable. As normalizing the aging signals of electrical tree in cv-cable, it is able to confirm risk degree of insulation material with the distribution of Ф-q-n and recognize the process of aging pattern using neural network.

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