• Title/Summary/Keyword: Spectrum inspection system

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A New System Development for the Spectrum Inspection of Optical Filters (광필터의 스펙트럼 검사시스템 개발)

  • Kim, Seung-Chul;Kim, Gyung-Bum
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.2 s.179
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    • pp.57-64
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    • 2006
  • Optical filters in WDM are passive communication components used in case of transmitting and reflecting lights with specific wavelengths. In this paper, a novel mechanism for the automatic and optical alignment has been presented. It includes minimum axes not to be coupled each other. The automatic spectrum inspection system has been developed to improve the alignment time of reference optical ray, spectrum inspection time and inspection quality, simultaneously. It has been confirmed that the proposed spectrum inspection system is faster, more precise and more reliable than those based on the conventional handwork.

Factors Affecting Acoustic Responses of Egg Shell (난각의 음향반응에 영향을 주는 인자)

  • 조한근;최완규
    • Journal of Biosystems Engineering
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    • v.22 no.1
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    • pp.41-48
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    • 1997
  • A nondestructive quality inspection technique using acoustic impulse response method was studied to investigate the feasibility of egg shell inspection. An experimental system was built to generate impact force, to measure the response signal and to analyze the frequency spectrum. This system includes an impulse generating unit, an egg holding seat, a microphone with preamplifier, and a digital oscilloscope connected to Personal Computer by RS-232C interface. The factors such as impulse generating method, egg holding method, and sensor location were evaluated by analyzing the power spectrum density of the measured signal. The results obtained are summarized as follows : 1. From the sampled eggs, the proper conditions for detecting damaged eggs were found as followings; ceramic for the impact ball material, rubber for egg seat material, 20 degrees for an impact angle of pendulum, 10mm for the distance between egg and sensor, the sharp side for impacting part, and 180 degrees for the location of sensor. 2. Examination of the Fourier transformed analysis in beth normal and damaged eggs revealed that those factors such as the resonant frequency, a number of peak frequencies and the magnitude of power spectrum were important to detect damaged eggs.

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Development of Dual Energy Radiation Detector (이중 에너지 방사선 검출기 개발)

  • Yeo, Hwa-Yeon
    • Journal of the Korean Society of Radiology
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    • v.4 no.3
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    • pp.5-11
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    • 2010
  • In this paper, we are suggested development of dual-mode detector for dual-energy digital radiography. Design of dual-energy radiography module for commercial BIS (Baggage Inspection System) is used in the spectrum of the X-ray generator and detector for dual-mode features and radiological characteristics were analyzed. BIS suggestl on the image detector module being used to target X-ray tube to simulate X-ray spectrum and simulated spectrum to offer through the new radiographic characteristics of the detector modules were investigated. Using X-ray experiments with an increase in the thickness of the copper filter low energy detector (LED) and high-energy detector (HED) as the difference between the output signal increases. HED, especially in the size of the output signal decreases with increasing thickness of the copper filter was found.

Crack Detection in Eggshell by Acoustic Responses (음향반응에 의한 계란의 크랙검출에 관한 연구)

  • 조한근;최완규;백진하
    • Journal of Biosystems Engineering
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    • v.23 no.1
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    • pp.67-74
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    • 1998
  • A nondestructive quality inspection technique using acoustic impulse response method was developed for eggshell inspection. An experimental system was built to generate the impact force, to measure the response signal and to analyze the frequency spectrum. This system includes an impulse generating unit, an egg holding seal a microphone with preamplifier, and a DSP board installed on Personal Computer. A simple algorithm .was developed for crack detection. Using the developed system with algorithm, crack detection ability was evaluated and the error rate to estimate the normal egg as cracked was found to be 4% and the error rate to estimate the cracked egg as normal was also found to be 4%. This system could be adopted in industry with some modification.

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The Development of an Automatic Noise Inspection System of a Rotating Engine Part Using OLE (OLE 기반 엔진 구동 부품의 자동 소음 검사 장비 개발)

  • 이상철;한성복;최성배
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.14 no.10
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    • pp.968-974
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    • 2004
  • Automakers have been forcing their suppliers to guarantee qualities of parts. Then, the suppliers have met the fundamental quality requirements such as dimensions and functions, but they could not sufficiently satisfy the automakers' noise requirements yet because automatic noise inspection systems were little successfully adopted In mass-production lines. This study tried to develop a system for automatically checking noise radiated from a rotating engine part and filtering parts emitting noise higher than criteria: the upper limits of a overall noise level or a noise spectrum. A commercial noise measurement system was used for measuring noise, and then the noise data was transmitted to a governing program through OLE(object, linking and embedding) functions. The governing program, belonging to a total noise inspection system managed the noise measurement and analysis. This system was successfully adapted for distinguishing bad parts according to the noise criteria.

Acoustic Impulse Method with Neural Network for Detection of Cracks in Eggshell (음향충격법과 인공신경망에 의한 파란 검출)

  • 최완규;조한근;백진하;장영창
    • Journal of Biosystems Engineering
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    • v.23 no.6
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    • pp.621-628
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    • 1998
  • In order to develop an inspection algorithm for an automatic eggshell inspection system, acoustic impulse response with neural network method was studied. An improved error backpropagation algorithm was selected as a loaming rule of neural network, and three layer network was chosen for the neural network architecture. Acoustic signals in time domain and theirs power spectrum were studied as the input to the neural network. The classification feasibility and success rate were investigated in terms of statistical analysis and neural network approach. As a result, the success rate was 95% with the statistical model having five independent variables. Among the neural network models studied, the power spectrum of acoustic signal as the input with 64 input neurons and the two impact data showed the success rate of 95.5% which was slightly higher than of statistical analysis.

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Proposal and Evaluation of Ground Response Spectrum Estimation Algorithm based on Seismic Observation Data (지진 관측데이터 기반 지반응답스펙트럼 추정 알고리즘 제안 및 평가)

  • Ahn, Jin-Hee;Jeong, Jin-Woo;Hong, Yu-Chan;Park, Jae-Bong;Choi, Hyoung-Suk
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.5
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    • pp.13-22
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    • 2019
  • In order to evaluate the earthquake damage level of small and medium - sized bridges without earthquake monitoring system, we proposed an algorithm for estimating the seismic force at the target bridge location using the ground acceleration data from the earthquake observatories near the structure. In general, response spectrum analysis, which is the most widely used dynamic analysis method to design and evaluate the structural system numerically is required a response spectrum to determine the dynamic loading. In this study, selection methods of the three closest observatories from the target structure and estimation method of ground response spectrum at arbitrary locations are developed. The proposed method can consider the distance and phase between the target bridge and the seismic station and from the relationship between the acceleration amplitudes and the location of the selected seismic station, the earthquake loading of the target bridge can be determined. The proposed algorithm is estimated to be more conservative than the response spectrum evaluated by actual earthquake data.

Two-module robotic pipe inspection system with EMATs

  • Lee, Jin-Hyuk;Han, Sangchul;Ahn, Jaekyu;Kim, Dae-Hyun;Moon, Hyungpil
    • Smart Structures and Systems
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    • v.13 no.6
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    • pp.1041-1063
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    • 2014
  • This work introduces a two-module robotic pipe inspection system with ultrasonic NDE device to evaluate the integrity of pipe structures. The proposed robotic platform has high mobility. The two module mobile robot platform overcomes pipe obstacle structures such as elbow, or T-branch joints by cooperative maneuvers. Also, it can climb up the straight pipeline at a fast speed due to the wheel driven mechanism. For inspection of pipe structure, SH-waves generated by EMAT are applied with additional signal processing methods. A wavelet transform is implemented to extract a meaningful and specific signal from the superposed SH-wave signals. Intensity ratio which is normalized the defect signals intensity by the maximum intensity of directly transmitted signals in the wavelet transforms spectrum is applied to evaluate defects quantitatively. It is experimentally verified that the robotic ultrasonic inspection system with EMAT is capable of non-destructive inspection and evaluation of defects in pipe structure successfully by applying signal processing method based on wavelet transform.

A Method for Generating Floor Response Spectra for Seismic Design for Non-Structural Components (비구조요소의 내진 설계를 위한 층응답스펙트럼 생성 기법)

  • Chang, Sung-Jin;Park, Dong-Uk;Kim, Jae-Bong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.1
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    • pp.154-162
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    • 2019
  • Large scale damage has been globally increased due to natural disasters such as earthquake. Although a variety of studies secured seismic performance of buildings, casualties and economic loss have occurred because of poor security of seismic performance in non-structural components. Structure's location on which non-structural components are installed and characteristics of vibration occurring on each position of structures are varied, so a response spectrum is required for each position of structures. In addition, a response spectrum occurring in a structure is different, depending on the form of it and positions on which it is installed. Therefore, selection of a response spectrum is important, so a definite method for calculating the response spectrum which acts on non-structural components is necessary. A method for choosing a response spectrum is suggested in this paper, and a structural analysis was conducted with the suggested method, by selecting a ground response spectrum and a structural system, which may occur in Korea. Moreover, it helps create a response spectrum necessary for a seismic test of non-structural components, by suggesting the method for deduction it, with a simple formula.

A Study on the Visualization of Suzi Mora Defect of FPD Color Filter (FPD용 컬러 필터의 수지 얼룩 결함 형상화에 관한 연구)

  • Kwon, Oh-Min;Lee, Jung-Seob;Park, Duck-Chun;Joo, Hyo-Nam;Kim, Joon-Seek
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.8
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    • pp.761-771
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    • 2009
  • Detecting defects on FPD (Flat Panel Display) color filter before the full panel is made is important to reduce the manufacturing cost. Among many types of defects, the low contrast blemish such as Suzi Mura is difficult to detect using standard CCD cameras. Even skilled inspectors in the inspection line can hardly identify such defects using bare eyes. To overcome this difficulty, point spectrometer has been used to analyze the spectrum to differentiate such defects from normal color filters. However, scanning ever increasing-size color filters by a point spectrometer takes too long time to be used in real production line. We propose a system using a spectral camera which can be viewed as a line scan camera composed of an array of point spectrometers. Three types of lighting system that exhibit different illumination spectrums are devised together with a calibration method of the proposed spectral camera system. To visualize the defect areas, various processing algorithms to identify and to enhance the small differences in spectrum between defective and normal areas are developed. Experiments shows 85% successful visualization. of real samples using the proposed system.