• Title/Summary/Keyword: power meter

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A Case Study of the Automatical Blasting Vibration Measuring System Using the Solar Power Supply (태양전지 전원 공급장치를 이용한 발파진동 자동화 계측시스템 운영 사례연구)

  • Yoo, Ji-Wan;Lee, Tai-Ro;Kim, Jung-Ryul;Kim, Young-Suck
    • Explosives and Blasting
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    • v.26 no.2
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    • pp.92-98
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    • 2008
  • Measuring methods of the blasting vibration were generally divided the. manual method and the automatical method. When using the automatical method, field data of the vibration meter can be transferred to a operation computer by using remote equipments. In this study new automatical system using solar power supply is to be introduced. New automatical system is well suited for the field which is difficult to access and is needed frequent measurements of the blasting vibration. And it can make easy to accumulate the data and control the blasting vibration for safe blasting.

Development of UV Corona Camera for the Detecting of Discharge on Power Facility using UV Transmittance Improvement Filter (UV 투과율 향상 필터 기술을 이용한 전력설비 방전 검출용 자외선 코로나 카메라 개발)

  • Kim, Young-Seok;Choi, Myeong-Il;Kim, Chong-Min;Bang, Sun-Bae;Shong, Kil-Mok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.11
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    • pp.1656-1661
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    • 2012
  • UV inspection technology is being used for predictive maintenance of power facility together with IR-thermography and ultrasonic devices. In this paper, the UV corona camera design, fabrication, and perform a simple test to be take advantage of the diagnostic equipment. The UV corona camera developed a $6.4^{\circ}{\times}4.8^{\circ}$ of the field of view as a conventional camera to diagnose a wide range of slightly enlarged, and power equipment to measure the distance between the camera and the distance meter has been attached. The transmission between 250 to 280nm was 11% ($12.5%{\times}88%{\times}98%$) by combing the transmission on absorption film, window and other filter(UG 5, nickel sulphate and so on). In a distance of 5m with the UV corona camera it is possible to detect partial discharge with a PD level of 2.5pC and a RIV level of $3.6dB{\mu}V$.

Study on the Evaluation of the Tension and Contact Resistance of a 3 Φ 3 W Plug-In MCCB (3상 3선식 Plug-In MCCB의 인장력 및 접촉저항 평가에 관한 연구)

  • Lee, Byung-Seol;Choi, Chung-Seog
    • Journal of the Korean Society of Safety
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    • v.28 no.4
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    • pp.43-47
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    • 2013
  • The purpose of this paper is to evaluate the performance of a Plug-In MCCB developed for rapid power supply restoration when the MCCB is installed in a power system and to verify its reliability. Since the developed 3 ${\Phi}$ 3 W Plug-In MCCB can be installed on and removed from a bus bar by one touch using a plug housed at the rear, it can be replaced in a short period of time. Therefore, it can quickly respond to the normalization of a power system. When the Plug-In MCCBB is installed on a bus bar, the resistance between each phase and plug was measured to be 0.46 $m{\Omega}$ in average. When the Plug-In MCCB is installed, the tension in the vertical direction was measured to be 112.78 N in average, which is greater than the tension of 50 N specified in the related regulation. The withstanding voltage tests performed 5 times repeatedly by applying 6 kV to the developed Plug-In MCCB for 60 seconds shows good withstanding voltage characteristics. In addition, both the general waterproof test using a water injection method and the insulation resistance analysis using a Mega meter showed good waterproof and insulation characteristics.

Classification Methods for Automated Prediction of Power Load Patterns (전력 부하 패턴 자동 예측을 위한 분류 기법)

  • Minghao, Piao;Park, Jin-Hyung;Lee, Heon-Gyu;Ryu, Keun-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06c
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    • pp.26-30
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    • 2008
  • Currently an automated methodology based on data mining techniques is presented for the prediction of customer load patterns in long duration load profiles. The proposed our approach consists of three stages: (i) data pre-processing: noise or outlier is removed and the continuous attribute-valued features are transformed to discrete values, (ii) cluster analysis: k-means clustering is used to create load pattern classes and the representative load profiles for each class and (iii) classification: we evaluated several supervised learning methods in order to select a suitable prediction method. According to the proposed methodology, power load measured from AMR (automatic meter reading) system, as well as customer indexes, were used as inputs for clustering. The output of clustering was the classification of representative load profiles (or classes). In order to evaluate the result of forecasting load patterns, the several classification methods were applied on a set of high voltage customers of the Korea power system and derived class labels from clustering and other features are used as input to produce classifiers. Lastly, the result of our experiments was presented.

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A Characteristic Analysis of Physical, Chemical and Electrical Property for Bunker C Fly Ash (Bunkder C유 회분의 물리적, 화학적, 전기적 특성분석)

  • 이재근;이정언;안영철
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 1996.04a
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    • pp.88-96
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    • 1996
  • The characteristic analysis of fly ash generated from a fired power plant using bunker-C oil has been investigated. Ash size distribution by an optical microscopy with image processing technique, morphological shape by a scanning electron microscope(SEM) and microscope, chemical composition by the inductively coupled plasma emission spectrometry(ICP), and resistivity measurement as a function of temperature and moisture content by the resistivity meter are performed. A study of physical, chemical and electrical characteristics of bunker-C fly ash plays an important role of improving the performance of an electrostatic precipitator and protecting air pollution. The samples of bunker-C fly ash for analysis were collected from the electrostatic precipitator hopper of Ulsan Power Plant Unit 1 and Pusan Power Plant Unit 1. Mass median diameter(MMD) of bunker-C fly ash was measured 12.7${\mu}{\textrm}{m}$, while MMD of fly ash generated from the mixture of bunker-C oil(40%) and domestic anthracitic coal(60%) was 25.7${\mu}{\textrm}{m}$. The morphological structure of bunker-C fly ash consisted of fine particles of non-spherical shape. The primary chemical components of bunker-C fly ash were composed of SiO2(2.36%), Al2O3(4.91%), Fe2O3(14.33%) and C(11.84%). Resistivity of bunker-C fly ash was found to be increased with increasing temperature at the range of 100~15$0^{\circ}C$ and was measured 103~104 ohm-cm.

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Volume Resistivity, Specific Heat and Thermal Conductive Properties of the Semiconductive Shield in Power Cables

  • Lee Kyoung-Yong;Choi Yong-Sung;Park Dae-Hee
    • KIEE International Transactions on Electrophysics and Applications
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    • v.5C no.3
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    • pp.89-96
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    • 2005
  • To improve the mean-life and reliability of power cables, we have investigated the volume resistivity and thermal properties demonstrated by changing the content of carbon black, an additive of the semiconductive shield for underground power transmission. Nine specimens were made of sheet form for measurement. Volume resistivity of the specimens was measured by a volume resistivity meter after 10 minutes in a preheated oven at temperatures of both 25$\pm$1[$^{\circ}C$] and 90$\pm$ 1[$^{\circ}C$]. As well, specific heat (Cp) and thermal conductivity were measured by Nano Flash Diffusivity and DSC (Differential Scanning Calorimetry). The ranges of measurement temperature were from 0[$^{\circ}C$] to 200[$^{\circ}C$], and heating temperature was 4[$^{\circ}C$/min]. From these experimental results, volume resistivity was high according to an increase of the content of carbon black. Specific heat was decreased, while thermal conductivity was increased according to a rise in the content of carbon black. Furthermore, both specific heat and thermal conductivity were increased by heating temperature because the volume of materials was expanded according to a rise in temperature.

Numerical investigation of the large over-reading of Venturi flow rate in ARE of nuclear power plant

  • Wang, Hong;Zhu, Zhimao;Zhang, Miao;Han, Jinlong
    • Nuclear Engineering and Technology
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    • v.53 no.1
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    • pp.69-78
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    • 2021
  • Venturi meter is frequently used in feed water flow control system in a nuclear power plant. Its accurate measurement plays a vital role in the safe operation of the plant. This paper firstly investigates the influence of the length of each section of pipeline, the throat inner diameter of Venturi and the flow characteristics in a single-phase flow on the accuracy of Venturi measurement by numerical calculation. Then the flow and the accuracy are discussed in a multi-phase flow. Numerical results show that the geometrical parameters and the characteristics of complex turbulent flow in the single-phase flow have little impact on the accuracy of Venturi flow rate measurement. In the multi-phase flow, the calculated flow rate of Venturi deviated from the actual flow rate and this deviation value is closely related to the amount of steam in the pipeline and increases sharply with the increase of the amount of steam. The over-reading of Venturi flow rate is present.

Near-infrared Laser Energy Transmission through Teeth with Crack Lines: An In-vitro Study

  • Sapra, Ashita;Darbar, Arun;George, Roy
    • Medical Lasers
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    • v.10 no.4
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    • pp.214-219
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    • 2021
  • Background and Objectives To evaluate the difference in near-infrared (810 nm) laser energy transmission through teeth with and without cracks. Materials and Methods Extracted teeth were sectioned and examined visually for the presence of cracks with the aid of photographs and a trans-illuminator. Fourteen sections, each with cracks (Group A) and no cracks (Group B) were identified and placed 15 mm from the tip of a 300 micron fiber, prior to activation with an 810 nm diode laser (0.1W, 50 ms interval,100 ms duration). A power meter positioned behind the tooth recorded the average energy that was transmitted through the samples. Unpaired t-test analysis was used to determine if the tooth sections with cracks allowed higher power passage compared to sound teeth. Results The mean power recording for the cracked teeth (Group A) was significantly greater (p = 0.0005) than that for the non-cracked teeth (Group B). Conclusion Within the limitations of this study, it is evident that significantly higher laser energy passes through teeth with cracks in comparison to teeth without cracks. A recent clinical study has also shown that lasers could be used to assess symptomatic cracked teeth. Hence, further research is required to determine the relative increase in energy required to identify symptomatic cracked teeth.

Development of an Alignment Method for Retarders in isoSTED Microscopy

  • Ilkyu Park;Dong-Ryoung Lee
    • Current Optics and Photonics
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    • v.8 no.4
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    • pp.421-426
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    • 2024
  • The use of stimulated emission depletion (STED) microscopy has significantly improved resolution beyond the limits imposed by diffraction; Furthermore, STED microscopy adopts a 4Pi-geometry to achieve an isotropic improvement in resolution. In isoSTED microscopy, a polarizing beam splitter and retarders are used in a 4Pi cavity to split beams of identical power, generating constructive and destructive interference for lateral and axial resolution improvements, respectively. The precise alignment of the retarders is crucial for optimizing the performance of isoSTED microscopy, because this orientation affects the quality of the depletion focus, necessitating zero intensity at the center. Incomplete destructive interference can lead to unwanted fluorescence inhibition, resulting in degraded resolution and contrast. However, measuring the intensity and polarization state in each optical path of the 4Pi cavity is complex and requires additional devices such as a power meter. Here, we propose a simple and accurate alignment method for the 4Pi cavity in isoSTED microscopy. Our approach demonstrates the equal allocation of power between upper and lower beam paths and achieves complete destructive interference using a polarizing beam displacer and a single CCD camera positioned outside the 4Pi cavity.

Analysis of Apartment Power Consumption and Forecast of Power Consumption Based on Deep Learning (공동주택 전력 소비 데이터 분석 및 딥러닝을 사용한 전력 소비 예측)

  • Yoo, Namjo;Lee, Eunae;Chung, Beom Jin;Kim, Dong Sik
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1373-1380
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    • 2019
  • In order to increase energy efficiency, developments of the advanced metering infrastructure (AMI) in the smart grid technology have recently been actively conducted. An essential part of AMI is analyzing power consumption and forecasting consumption patterns. In this paper, we analyze the power consumption and summarized the data errors. Monthly power consumption patterns are also analyzed using the k-means clustering algorithm. Forecasting the consumption pattern by each household is difficult. Therefore, we first classify the data into 100 clusters and then predict the average of the next day as the daily average of the clusters based on the deep neural network. Using practically collected AMI data, we analyzed the data errors and could successfully conducted power forecasting based on a clustering technique.