• Title/Summary/Keyword: 진동검출

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Comparison of FEA with Condition Monitoring for Real-Time Damage Detection of Bearing Using Infrared Thermography Techniques (적외선열화상을 이용한 베어링 실시간 손상검출 상태감시의 전산수치해석 비교)

  • Kim, Hojong;Kim, Wontae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.35 no.3
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    • pp.185-192
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    • 2015
  • Since real-time monitoring systems, such as early fault detection, have been very important, an infrared thermography technique was proposed as a new diagnosis method. This study focused on damage detection and temperature characteristic analysis of ball bearings using the non-destructive, infrared thermography method. In this paper, for the reliability assessment, infrared experimental data were compared with finite element analysis (FEA) results from ANSYS. In this investigation, the temperature characteristics of ball bearing were analyzed under various loading conditions. Finally, it was confirmed that the infrared thermography technique was useful for the real-time detection of damage to bearings.

Footstep Detection and Classification Algorithms based Seismic Sensor (진동센서 기반 걸음걸이 검출 및 분류 알고리즘)

  • Kang, Youn Joung;Lee, Jaeil;Bea, Jinho;Lee, Chong Hyun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.1
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    • pp.162-172
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    • 2015
  • In this paper, we propose an adaptive detection algorithm of footstep and a classification algorithm for activities of the detected footstep. The proposed algorithm can detect and classify whole movement as well as individual and irregular activities, since it does not use continuous footstep signals which are used by most previous research. For classifying movement, we use feature vectors obtained from frequency spectrum from FFT, CWT, AR model and image of AR spectrogram. With SVM classifier, we obtain classification accuracy of single footstep activities over 90% when feature vectors using AR spectrogram image are used.

Development of Abnormal Behavior Monitoring of Structure using HHT (HHT를 이용한 이상거동 시점 추정 기법 개발)

  • Kim, Tae-Heon;Park, Ki-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.19 no.2
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    • pp.92-98
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    • 2015
  • Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring (SHM) technique is increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and influenced by various external loads. "Abnormal behavior point" is a moment when the structure starts vibrating abnormally and this can be detected by comparing between before and after abnormal behavior point. In other words, anomalous behavior is a sign of damage on structures and estimating the abnormal behavior point can be directly related to the safety of structure. Abnormal behavior causes damage on structures and this leads to enormous economic damage as well as damage for humans. This study proposes an estimating technique to find abnormal behavior point using Hilber-Huang Transform which is a time-frequency signal analysis technique and the proposed algorithm has been examined through laboratory tests with a bridge model using a shaking table.

Effectiveness Analysis and Profile Design Automation Tool Implementation for The Mass Production Weapon System Environmental Stress Screening Test (양산 무기체계 환경 부하 선별 시험 효과도 분석 및 프로파일 설계 자동화 도구 구현)

  • Kim, Jang-Eun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.8
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    • pp.379-388
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    • 2016
  • There are various system defects from weapons manufacturing due to the numerous production processes and various production environments. The first kind of defect is patent defects, which can be detected by visual inspection, functional testing, and existing quality control procedures during the manufacturing process. The second kind is latent defects, which cannot be detected though existing quality management approaches because of the complexity of the system and manufacturing process. To minimize the initial defect problems, environmental stress screening (ESS) is needed to detect the defects, remove them, and improve the product conditions based on the environmental stress conditions of temperature and vibration. We implemented a tool for quantitative ESS effectiveness analysis and profile design automation based on MIL-HDBK-344 and verified it using six scenarios with different temperature stress, vibration stress, and test designs.

Dither-stripping with the differential of dither rate signal for a ring laser gyroscope (링레이저 자이로의 각진동 센서신호 미분에 의한 dither-stripping)

  • Shim, Kyu-Min;Chung, Tae-Ho;Lim, Hoo-Jang
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.8
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    • pp.65-74
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    • 2005
  • It is required for getting the ring laser gyro output purely related to the input rotation to eliminate the output of the modulated angular vibration from the ring laser signal. In this paper we discuss the dither stripping methods of compensating the ring laser signal by converting the rate signal of dither detector from voltage to frequency for a dither type ring laser gyro. We discuss the differential methods for getting rid of the offset of the V-F signal. And we develope the methods of compensating the phase differences between the ring laser signals and the V-F differential signals by using analog integrator and digital time delays. And also, we develope the gain calculation method by comparing the standard deviations of the ring laser signals with V-F differential signals. We implemented these methods and analyzed the effectiveness of these methods by comparing the dither trapping methods.

Rapid Detection of Salmonella spp. by Antibody Immobilization with Gold-protein A Complex (Gold-protein A Complex 항체 고정화법을 이용한 Salmonella spp.의 신속 검출)

  • Park, In-Seon;Kim, Nam-Soo
    • Korean Journal of Food Science and Technology
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    • v.31 no.1
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    • pp.1-6
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    • 1999
  • A piezoelectric (PZ) biosensor system detecting Salmonella spp. was developed. The system consisted of an oscillator, a frequency counter and an antibody-immobilized quartz crystal. An anti-Salmonella antibody was immobilized on one gold. surface of the quartz crystal with protein A. Salmonella detection was made by measuring resonant frequency shift owing to a mass change by specific binding of microbial cells to the gold surface of the PZ crystal. The PZ antibody sensor was operated optimally at 0.1M phosphate buffer, pH 7.2 and $35^{\circ}C$. The sensor was quite specific to Salmonella spp. The obtained frequency shift was correlated with the Salmonella concentration in the range of $10^5{\sim}10^6\;CFU/mL$. The frequency shift increased further by addition of polystyrene beads. The Salmonella detection which is indicated by a steady-state microbial adsorption to the quartz crystal was accomplished within 50min.

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A Study on the Detection Technique of the Flame and Series arc by Poor Contact (접촉 불량에 의한 불꽃 및 직렬아크의 검출 기법에 관한 연구)

  • Woo, Kim Hyun;Hyun, Baek Dong
    • Fire Science and Engineering
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    • v.26 no.6
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    • pp.24-30
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    • 2012
  • This study is on the method of the detection for flame and series arc which can be happened at poor contact point added a vibration in part of contact point of low voltage line. In general, the causes of electric fire are over current, short circuit, poor contact, ect. The over-current or short circuit among those causes is detected by measuring a instant current value, but poor contact is difficult to detect by measuring a excessive value of the voltage and current and a distortion of waveforms. And therefore, in this paper, it is studied on the optimal technique of the arc judgement using fuzzy logic and MDET (Multi Dimension Estimation Technique). And it carries out the simulation for arc detection and the experiment for controller and load test. In result, the controller and detection algoristhm, is classified with normal wave and abnormal arc wave without relation with each loads and so the controller can detect a series arc successfully.

A Study on the Compressible Fluid Leak Position Detection of Buried Pipelines (매설배관 내의 압축성 유체 누설 위치 검출에 관한 연구)

  • Lee, Jeong-Han;Kim, Hyung-Jin;Yoon, Doo-Byung;Park, Jin-Ho
    • Journal of the Korean Institute of Gas
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    • v.20 no.5
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    • pp.40-49
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    • 2016
  • When a leak occurs in the buried pipelines, The leak locations are able to detected by using the vibration sensors. These leak detection system, intended for incompressible fluid, such as water, are of using the wave propagation velocity and a signal arrival time delay between the sensors. In this paper, to develop a leak location detection system for a compressible fluid such as gas, the conventional detection methods have been studied, improved, and verified through the experiment using the compressed air. It confirmed that it is possible to detect the leak location for compressible fluid in the buried pipelines and to be applicable to the development of a leak location detection system in buried pipelines for gas.

Quartz Crystal Microbalance Modified by a Novel Vapor Diffused Molecular Assembly Technique and Measurement of Chiral Mandelic Acid (기상확산 자기조립화법에 QCM수식과 Madelic Acid 키랄물질 측정)

  • Kim, JongMin;Kim, SeungJin;Woo, SunYoung;Jang, SukHee;Kim, Woo-Sik;Chang, SangMok
    • Korean Chemical Engineering Research
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    • v.48 no.5
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    • pp.574-582
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    • 2010
  • In this study, the possibility of a quartz crystal micro-balance(QCM) modification of crystallization of L-Penicillamine and D-Penicillamine with a Vapor Diffused Molecular Assembly Technique and its application to the R-(-)-Mandelic acid and S-(+)- Mandelic acid measurement was investigated. The 3-dimensional structures of L-Penicillamine and D-Penicillamine on the surface of QCM were verified to be different from each other through QCM and AFM analyses. The D-Penicillamine modified QCM had specific recognition to the R-(-)-Mandelic acid, but L-Penicillamine modified QCM had no specificity to the R-(-)-Mandelic acid and S-(+)- Mandelic acid. From these results, it was known that the QCM could be modified with various selective meterials via VDMA, and the chiral isomer such as a Mandelic acid isomer could be detected by using a modified QCM.

Traffic Sign Detection Using The HSI Eigen-color model and Invariant Moments (HSI 고유칼라 모델과 불변 모멘트를 이용한 교통 표지판 검출 방법)

  • Kim, Jong-Bae;Park, Jung-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.1
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    • pp.41-51
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    • 2010
  • In the research for driver assistance systems, traffic sign information to the driver must be a very important information. Therefore, the detection system of traffic signs located on the road should be able to handel real-time. To detect the traffic signs, color and shape of traffic signs is to use the information after images obtained using the CCD camera. In the road environment, however, using color information to detect traffic sings will cause many problems due to changes of weather and environmental factors. In this paper, to solve it, the candidate traffic sign regions are detected from road images obtained in a variety of the illumination changes using the HSI eign-color model. And then, using the invariant moment-based SVM classifier to detect traffic signs are proposed. Experimental results show that, traffic sign detection rate is 91%, and the processing time per frame is 0.38sec. Proposed method is useful for real-time intelligent traffic guidance systems can be applied.