• 제목/요약/키워드: Structural distortion

검색결과 252건 처리시간 0.025초

몰드변압기 진동신호의 FFT 및 시계열 계수 분석 (FFT and AR Coefficient Analysis of Vibration Signal in Mold Transformer)

  • 정용기;정종욱;김재철;곽희로
    • 조명전기설비학회논문지
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    • 제12권4호
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    • pp.136-145
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    • 1998
  • 본 논문에서는 몰드변압기 예방진단을 위해 정상상태와 비정상상태 몰드변압기의 진동신호의 FFT 및 시계열 분석에 관해 연구하였다. 실험올 위한 제어변수들로 공급전압, 부하전류 및 주위온도를 변화시키면서, 진동신호 크기, 주파수 스펙트럼 및 시계열 계수와 같은 측정변수들을 분석하였다. 제어변수 변화에 의한 진동선호는 권선표변과 철섬에 부착된 가속도센서로 측정되었으며, 이 신호들은 중폭기를 거쳐 데이터 수집장치에서 측정변수들로 계산되었다. 또한, 정 상상태 분석 후, 몰드변압기의 구조적 변형올 모의하였다. 비정상상태 진동신호는 정상상태와 같은 제어변수 변화 에 의해 측정되었다. 연구 결과, 정상상태와 비정상상태 진동신호는 수직진동신호와 수평진동신호를 비교하여 분석함으혹써 구별이 가능하였다.

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Fluorine-Doping Effect on Structural and Optical Properties of ZnO Nanorods Synthesized by Hydrothermal Method

  • Yoon, Hyunsik;Kim, Ikhyun;Kang, Daeho;Kim, Soaram;Kim, Jong Su;Lee, Sang-Heon;Leem, Jae-Young
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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    • pp.204.1-204.1
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    • 2013
  • Fluorine, the radius of which is close to that of oxygen, could be an appropriate anion doping candidate. A lower lattice distortion could be expected for F doping, compared with Al, Ga, and In doping. F-doped ZnO (FZO) and undoped ZnO nanorods were grown onto glass substrate by the hydrothemal method. The doping level in the solution, designated by F/Zn atomic ratio of was varied from 0.0 to 10.0 in 2.0 steps. To investigate the effects of the structure and optical properties of FZO nanorods were investigated using X-ray diffraction, UV-visible spectroscopy and photoluminescence (PL). For the PL spectra, the maximum peak position of NBE moves to higher energy, from 0 to 4 at.%. As the doping concentration increases, the maximum peak position of NBE gradually moves to lover energy, from 4 to 10 at.%.

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Clipping 구조를 개선한 OFDM 전송시스템의 PAPR 감소에 관한 연구 (A Study on Reducing PAPR of OFDM Transmit System by Clipping Structural Improvement)

  • 김완태;조성준
    • 한국정보통신학회논문지
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    • 제11권8호
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    • pp.1589-1595
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    • 2007
  • 현재의 통신 시스템은 멀티미디어 서비스를 제공하기 위하여 OFDM(Orthogonal Frequency Division Multiplexing) 방식이 주로 쓰이고 있다. 그러나 OFDM 방식은 다수의 부반송파를 사용하므로 부반송파들이 동일위상으로 더해질 때 놀아지는 PAPR(Peak-to-Average Power Ratio)이 문제가 되고 있다. PAPR의 문제는 신호가 전력증폭기와 같은 비선형 소자를 통과할 때 심각한 왜곡을 받게 되므로 전송시스템 성능이 저하된다. 본 논문에서는 PAPR 문제를 해결하기 위해 IF-Clipping 기법을 제안하고, 신호의 clipping에 의해 발생되는 신호의 왜곡을 SAW(Solace Acoustic Wave) 필터와 전력증폭기를 사용하여 제한하였다. 또한 clipping 기법 이용 후 SAW Filter와 전력증폭기를 사용하여 WiBro 시스템의 Spectrum Mask를 만족하는 이상적인 파라메터 값(PAPR, Backoff)을 찾았다.

직렬 커패시터 D/A 변환기를 갖는 저전력 축차 비교형 A/D 변환기 (Low Power SAR ADC with Series Capacitor DAC)

  • 이정현;진유린;조성익
    • 전기학회논문지
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    • 제68권1호
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    • pp.90-97
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    • 2019
  • The charge redistribution digital-to-analog converter(CR-DAC) is often used for successive approximation register analog-to-digital converter(SAR ADC) that requiring low power consumption and small circuit area. However, CR-DAC is required 2 to the power of N unit capacitors to generate reference voltage for successive approximation of the N-bit SAR ADC, and many unit capacitors occupy large circuit area and consume more power. In order to improve this problem, this paper proposes SAR ADC using series capacitor DAC. The series capacitor DAC is required 2(1+N) unit capacitors to generate reference voltage for successive approximation and charges only two capacitors of the reference generation block. Because of these structural characteristics, the SAR ADC using series capacitor DAC can reduce the power consumption and circuit area. Proposed SAR ADC was designed in CMOS 180nm process, and at 1.8V supply voltage and 500kS/s sampling rate, proposed 6-bit SAR ADC have signal-to-noise and distortion ratio(SNDR) of 36.49dB, effective number of bits(ENOB) of 5.77-bit, power consumption of 294uW.

Experimental training of shape memory alloy fibres under combined thermomechanical loading

  • Shinde, Digamber;Katariya, Pankaj V;Mehar, Kulmani;Khan, Md. Rajik;Panda, Subrata K;Pandey, Harsh K
    • Structural Engineering and Mechanics
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    • 제68권5호
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    • pp.519-526
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    • 2018
  • In this article, experimental training of the commercial available shape memory alloy fibre (SMA) fibre under the combined thermomechanical loading is reported. SMA has the ability to sense a small change in temperature (${\geq}10^{\circ}C$) and activated under the external loading and results in shape change. The thermomechanical characteristics of SMA at different temperature and mechanical loading are obtained through an own lab-scale experimental setup. The analysis is conducted for two types of the medium using the liquid nitrogen (cold cycle) and the hot water (heat cycle). The experimental data indicate that SMA act as a normal wire for Martensite phase and activated behavior i.e., regain the original shape during the Austenite phase only. To improve the confidence of such kind of behavior has been verified by inspecting the composition of the wire. The study reveals interesting conclusion i.e., while SMA deviates from the equiatomic structure or consist of foreign materials (carbon and oxygen) except nickel and titanium may affect the phase transformation temperature which shifted the activation phase temperature. Also, the grain structure distortion of SMA wire has been examined via the scanning electron microscope after the thermomechanical cycle loading and discussed in details.

MSSIM 및 KL Divergence 기반 의사 율-왜곡 평가 함수와 복수개의 영상처리 필터를 이용한 동영상 전처리 방법 (Image processing of pseudo rate-distortion function based on MSSSIM and KL-Divergence, using multiple video processing filters for video compression.)

  • 석진욱;조승현;김휘용;최진수
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2018년도 하계학술대회
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    • pp.169-172
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    • 2018
  • 본 논문에서는 동영상 화질을 최대한 유지하면서 압축 비트량 절감을 효율적으로 이루기 위해 복수개의 영상처리 필터를 영상의 블록에 따라 선택적으로 적용하고, 영상처리 필터의 선택을 위한 MSSIM 및 KL Divergence 기반의 영상 처리 평가 함수를 제안한다. 영상압축의 경우, 영상 내 특징에 따라 화질과 비트량 절감의 특성이 다르며, 이에 따라 단일 목적을 가진 영상처리 필터로서는 화질을 유지하면서, 비트량 절감이라는 목적을 동시에 만족 시키기 어렵다. 이에 따라, 주관적 화질을 최대한 유지하면서, 비트량을 절감시키기 위해 주관적 화질 측도로서 MSSSIM(Multi-scale Structural Similarity)를 사용하고 비트량 측도를 위하여 KL Divergence 를 사용함과 동시에 두 가지 척도를 하나의 척도로 결합시키기 위한 방법을 제안한다. 아울러 제안한 측도를 사용하여 서로 다른 특성을 가진 영상처리 필터를 전처리 필터로 사용할 경우, 주관적 화질을 최대한 유지하면서 비트량 절감을 유지할 수 있도록 동영상 압축이 가능함을 확인할 수 있었다.

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Atomic structure and crystallography of joints in SnO2 nanowire networks

  • Hrkac, Viktor;Wolff, Niklas;Duppel, Viola;Paulowicz, Ingo;Adelung, Rainer;Mishra, Yogendra Kumar;Kienle, Lorenz
    • Applied Microscopy
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    • 제49권
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    • pp.1.1-1.10
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    • 2019
  • Joints of three-dimensional (3D) rutile-type (r) tin dioxide ($SnO_2$) nanowire networks, produced by the flame transport synthesis (FTS), are formed by coherent twin boundaries at $(101)^r$ serving for the interpenetration of the nanowires. Transmission electron microscopy (TEM) methods, i.e. high resolution and (precession) electron diffraction (PED), were utilized to collect information of the atomic interface structure along the edge-on zone axes $[010]^r$, $[111]^r$ and superposition directions $[001]^r$, $[101]^r$. A model of the twin boundary is generated by a supercell approach, serving as base for simulations of all given real and reciprocal space data as for the elaboration of three-dimensional, i.e. relrod and higher order Laue zones (HOLZ), contributions to the intensity distribution of PED patterns. Confirmed by the comparison of simulated and experimental findings, details of the structural distortion at the twin boundary can be demonstrated.

터빈로터 중심공 검사용 자기주행 공압형 로봇 개발 (Development of Self-Driven Pneumatic Robot for Boresonic Examination of Turbine Rotor)

  • 강배준;안명재;이철희
    • 드라이브 ㆍ 컨트롤
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    • 제18권1호
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    • pp.31-38
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    • 2021
  • This study presents a new principle for driving the robot aimed at reducing the position error for the boresonic examination of turbine rotor. The conventional method of inspection is performed by installing manipulator onto the flange of the turbine rotor and connecting a pipe, which is then being pushed into the bore. The longer the pipe gets, the greater sagging and distortion appear, making it difficult for the ultrasonic sensor to contact with the internal surface of the bore. A pneumatic pressure will ensure the front or rear feet of the robot in close contact with the inner wall to prevent slipping, while the ball screw on the body of the robot will rotate to drive it in the axial direction. The compression force required for tight contact was calculated in the form of a three-point support, and a static structural simulation analysis was performed by designing and modeling the robot mechanism. The driving performance and ultrasonic detection ability have been tested by fabricating the robot, the test piece for ultrasonic calibration and the transparent mock-up for robot demonstration. The tests have confirmed that no slipping occurs at a certain pneumatic pressure or over.

분해 심층 학습을 이용한 저조도 영상 개선 방식 (Low-light Image Enhancement Method Using Decomposition-based Deep-Learning)

  • 오종근;홍민철
    • 전기전자학회논문지
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    • 제25권1호
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    • pp.139-147
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    • 2021
  • 본 논문에서는 저조도 영상을 개선하기 위한 영상 분해 기반 심층 학습 방법 및 분해 채널 특성에 따른 손실함수를 제안한다. 기존 기법들의 문제점인 색신호 왜곡 및 할로 현상을 제거하기 위해, 입력 영상의 휘도 채널을 반사 성분과 조도 성분으로 분해하고, 반사 성분, 조도 성분 및 색차 신호를 신호 특성에 적합한 심층학습 과정을 적용하는 분해 기반 다중 구조 심층 학습 방법을 제안한다. 더불어, 분해 채널들의 특성에 따른 혼합 놈 기반의 손실함수를 정의하여 복원 영상의 안정성을 증대하고 열화 현상을 제거하기 위한 기법에 대해 기술한다. 실험 결과를 통해 제안한 방법이 다양한 저조도 영상을 효과적으로 개선하였음을 확인할 수 있었다.

Semantic crack-image identification framework for steel structures using atrous convolution-based Deeplabv3+ Network

  • Ta, Quoc-Bao;Dang, Ngoc-Loi;Kim, Yoon-Chul;Kam, Hyeon-Dong;Kim, Jeong-Tae
    • Smart Structures and Systems
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    • 제30권1호
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    • pp.17-34
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    • 2022
  • For steel structures, fatigue cracks are critical damage induced by long-term cycle loading and distortion effects. Vision-based crack detection can be a solution to ensure structural integrity and performance by continuous monitoring and non-destructive assessment. A critical issue is to distinguish cracks from other features in captured images which possibly consist of complex backgrounds such as handwritings and marks, which were made to record crack patterns and lengths during periodic visual inspections. This study presents a parametric study on image-based crack identification for orthotropic steel bridge decks using captured images with complicated backgrounds. Firstly, a framework for vision-based crack segmentation using the atrous convolution-based Deeplapv3+ network (ACDN) is designed. Secondly, features on crack images are labeled to build three databanks by consideration of objects in the backgrounds. Thirdly, evaluation metrics computed from the trained ACDN models are utilized to evaluate the effects of obstacles on crack detection results. Finally, various training parameters, including image sizes, hyper-parameters, and the number of training images, are optimized for the ACDN model of crack detection. The result demonstrated that fatigue cracks could be identified by the trained ACDN models, and the accuracy of the crack-detection result was improved by optimizing the training parameters. It enables the applicability of the vision-based technique for early detecting tiny fatigue cracks in steel structures.