• Title/Summary/Keyword: Inspection frequency

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Defects Detection of the Underground Distribution Power Cables by Very Low Frequency Voltage Source (초저주파전원을 이용한 지중배전 전력케이블의 결함검출)

  • 김주용;송일근
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.3
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    • pp.45-50
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    • 1998
  • This paper presents experimental results on the application of very low frequency(VLF) voltage to replace conventional DC test as an after laying test for underground distribution cables. We carried out several tests to prove defects detecting ability of VLF test on the 5m length real cables having knife-cut or needle type defects which is made in our La.. Through this experiment we proved it is very difficult to initiate electrical tree from the defects inside of the cable insulation but once the electrical tree is initiated it grows very fast and VLF does not make new defects and expand the defect. Therefore VLF test equipment for quality inspection test of manufacture is more effective than field application for underground distribution cables.

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Advanced signal processing for enhanced damage detection with piezoelectric wafer active sensors

  • Yu, Lingyu;Giurgiutiu, Victor
    • Smart Structures and Systems
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    • v.1 no.2
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    • pp.185-215
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    • 2005
  • Advanced signal processing techniques have been long introduced and widely used in structural health monitoring (SHM) and nondestructive evaluation (NDE). In our research, we applied several signal processing approaches for our embedded ultrasonic structural radar (EUSR) system to obtain improved damage detection results. The EUSR algorithm was developed to detect defects within a large area of a thin-plate specimen using a piezoelectric wafer active sensor (PWAS) array. In the EUSR, the discrete wavelet transform (DWT) was first applied for signal de-noising. Secondly, after constructing the EUSR data, the short-time Fourier transform (STFT) and continuous wavelet transform (CWT) were used for the time-frequency analysis. Then the results were compared thereafter. We eventually chose continuous wavelet transform to filter out from the original signal the component with the excitation signal's frequency. Third, cross correlation method and Hilbert transform were applied to A-scan signals to extract the time of flight (TOF) of the wave packets from the crack. Finally, the Hilbert transform was again applied to the EUSR data to extract the envelopes for final inspection result visualization. The EUSR system was implemented in LabVIEW. Several laboratory experiments have been conducted and have verified that, with the advanced signal processing approaches, the EUSR has enhanced damage detection ability.

A FRF-based algorithm for damage detection using experimentally collected data

  • Garcia-Palencia, Antonio;Santini-Bell, Erin;Gul, Mustafa;Catbas, Necati
    • Structural Monitoring and Maintenance
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    • v.2 no.4
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    • pp.399-418
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    • 2015
  • Automated damage detection through Structural Health Monitoring (SHM) techniques has become an active area of research in the bridge engineering community but widespread implementation on in-service infrastructure still presents some challenges. In the meantime, visual inspection remains as the most common method for condition assessment even though collected information is highly subjective and certain types of damage can be overlooked by the inspector. In this article, a Frequency Response Functions-based model updating algorithm is evaluated using experimentally collected data from the University of Central Florida (UCF)-Benchmark Structure. A protocol for measurement selection and a regularization technique are presented in this work in order to provide the most well-conditioned model updating scenario for the target structure. The proposed technique is composed of two main stages. First, the initial finite element model (FEM) is calibrated through model updating so that it captures the dynamic signature of the UCF Benchmark Structure in its healthy condition. Second, based upon collected data from the damaged condition, the updating process is repeated on the baseline (healthy) FEM. The difference between the updated parameters from subsequent stages revealed both location and extent of damage in a "blind" scenario, without any previous information about type and location of damage.

A Study on Reliability Verification of Resonance Frequency Detection of Vibration Object using Time-average ESPI (시간 평균 ESPI를 이용한 진동 물체의 공진 주파수 검출 신뢰도 검증에 대한 연구)

  • Hong Kyung-Min;Ryu Weon-Jae;Kang Young-Jung;Lee Dong-Hwan
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.930-933
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    • 2005
  • Non-destructive inspection techniques using laser have been breading their application areas as well as growing their measurement skills together with the rapid development of circumferential technology like fiber optics. computer and image processing The ESPI technique is already on the stage of on-line testing with commercial products in developed country nations. Especially, this technique is expected to be applied to the nuclear industry, automobile and aerospace because it is proper for the vibration measurement and it can be applied to objects of a high temperature. This paper describes the use of the ESPI system for measuring vibration patterns on the reflecting objects. Using this system, high-quality Jo fringes for identifying mode shapes are displayed. A bias vibration is introduced into the reference beam to shift the Jo fringes so that fringe shift algorithms can be used to determine vibration amplitude. Using this method. amplitude fields for vibrating objects were obtained directly from the time-average interferometer recorded by the ESPI system.

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Output-only modal parameter identification for force-embedded acceleration data in the presence of harmonic and white noise excitations

  • Ku, C.J.;Tamura, Y.;Yoshida, A.;Miyake, K.;Chou, L.S.
    • Wind and Structures
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    • v.16 no.2
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    • pp.157-178
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    • 2013
  • Output-only modal parameter identification is based on the assumption that external forces on a linear structure are white noise. However, harmonic excitations are also often present in real structural vibrations. In particular, it has been realized that the use of forced acceleration responses without knowledge of external forces can pose a problem in the modal parameter identification, because an external force is imparted to its impulse acceleration response function. This paper provides a three-stage identification procedure as a solution to the problem of harmonic and white noise excitations in the acceleration responses of a linear dynamic system. This procedure combines the uses of the mode indicator function, the complex mode indication function, the enhanced frequency response function, an iterative rational fraction polynomial method and mode shape inspection for the correlation-related functions of the force-embedded acceleration responses. The procedure is verified via numerical simulation of a five-floor shear building and a two-dimensional frame and also applied to ambient vibration data of a large-span roof structure. Results show that the modal parameters of these dynamic systems can be satisfactorily identified under the requirement of wide separation between vibration modes and harmonic excitations.

Thermographic Defects Evaluation of Railway Composite Bogie (적외선열화상을 이용한 복합소재대차의 결함평가)

  • Kim, Jeong-Guk;Kwon, Sung-Tae;Kim, Jung-Seok;Yoon, Hyuk-Jin
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.548-553
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    • 2011
  • The lock-in thermography was employed to evaluate the defects in railway bogies. Prior to the actual application on railway bogies, in order to assess the detectability of known flaws, the calibration reference panel was prepared with various dimensions of artificial flaws. The panel was composed of polymer matrix composites, which were the same material with actual bogies. Through lock-in thermography evaluation, the optimal frequency of heat source was determined for the best flaw detection. Based on the defects information, the actual defect assessments on railway bogie were conducted with different types of railway bogies, which were used for the current operation. In summary, it was found that the novel infrared thermography technique could be an effective way for the inspection and the detection of surface defects on bogies since the infrared thermography method provided rapid and non-contact investigation of railway bogies.

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Development of Calibration System for Contact Transducer (초음파 탐촉자의 교정 시스템 개발)

  • Nam, Y.H.;Seong, U.H.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.19 no.4
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    • pp.294-299
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    • 1999
  • In this paper, the calibration system for contact transducer has been developed to improve the reliability of the inspection result of ultrasonic testing on rotors. This system consists of signal processing parts: (oscilloscope, spectrum analyzer, pulser/receiver), standard block, and user interface program. Signal processing for the calibration system was performed quickly with high accuracy. The developed system has been applied to a practical calibration of probe using the non-destructive testing on rotors, and demonstrated high sensitivity and precision.

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A Study on the Detection of Defective Motors by Using Maharanobis' Distance (마하라노비스 거리를 이용한 모터 불량품 검출 방법에 관한 연구)

  • Jang, H.K.;Hong, S.I.;Park, S.G.;Gu, C.W.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.11a
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    • pp.392-395
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    • 2006
  • In this paper, Maharanobis distance was used to distinguish defective motors from good motors. Maharanobis distance was calculated from the noise data of good motors and the test motor that were measured in 1/3 octave hand from 25 Hz to 20 kHz frequency range. The suggested method was applied to the detection of defective air-conditioner motors.

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A study on application of RFID systems for tracking of C-Hook in the wire rods process (선재 공정에서 C-Hook 트래킹을 위한 RFID 시스템 적용에 대한 연구)

  • Kwon, Young-Sin;Lee, Chang-Woo;Ban, Sung-Jun;Cho, Hyung-Woo;Kim, Sang-Woo
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.413-415
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    • 2006
  • Wire rods are carried by C-Hooks and are tracked by bringing the inspection sensors into contact with steel bars on the C-Hooks. However, the conventional system using mechanical equipment is not reliable due to aging, wearing and bending of steel bars. To overcome these problems, a non-contact type identification system is required. This paper introduces the radio frequency identification(RFID) technology which is one of the most popular non-contact identification methods, and evaluates its performance in the real environment of POSCO. Specifically, we use tags which are designed for operating on high temperature and allowing easy attaching and detaching on the C-Hook. A new monitoring program is developed for reacting upon the conventional system and showing the results of reading of reading tags.

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Damage Detection of Apartment Building- using Modal Properties (동특성을 이용한 벽식구조 아파트건물의 손상도 추정)

  • 천영수;김홍식;김하근;강경완
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.577-582
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    • 2001
  • Identification of damage of structures has recently received considerable attention in the light of maintenance and safety assessment under service loads. In buildings, the current techniques of safety assessment largely depend on partial experiments such as visual inspection, destructive and nondestructive tests which lead to overconsumption of time and cost as well as higher labor intensity. Therefore, a new trial for safety assessment is urgently needed today. In this respect, the vibration characteristics of buildings have been applied steadily to obtain a damage index of the whole building, but it cannot be established as a practical method until now. This study is aimed at investigating the application of damage identification methods using vibration characteristics of building. Numerical tests are performed on a apartment building. From the test results, it is observed that severity and location of damage can be estimated with a relatively small error by using natural frequency and mode shape data.

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