• Title/Summary/Keyword: 손상신호

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Comparison of Fragility Using Natural Frequency and Damping Parameter in System (고유주파수와 감쇠비에 대한 시스템 손상도 비교)

  • Lee, Seok-Min;Jung, Beom-Seok
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.22 no.1
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    • pp.48-55
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    • 2018
  • The purpose of the present study is to compare the reduction rate of natural frequency and the increase rate of damping parameter with structural damage in system. For this purpose, experiment and numerical simulation analysis are performed for the 2-span H-Beam with lower natural frequency and higher damping parameter from free vibration in structure. The response signal by impact load before and after damage is analyzed at 14 locations. The response signals for all locations are performed fast fourier transform to estimate the natural frequency reduction rate and wavelet transform to estimate the damping parameter increase rate. The time domain function corresponding to each scale(frequency) is separated from the response signal by wavelet parameter. The estimation of damping parameter increase rate using wavelet transform is more sensitive than the estimation of natural frequency reduction rate in structure.

Local Damage Detection Using Acceleration ARX Model (가속도 ARX 모델을 사용한 국부손상 탐색)

  • Shin, Soobong;Park, Hye-Youn;Kim, Jae-Cheon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.13 no.2 s.54
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    • pp.115-121
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    • 2009
  • The paper presents a signal-based damage detection algorithm of ARX model using dynamic acceleration data. An ARX model correlates acceleration data measured at two locations in a structure by considering those two sets of data as input and output signals. For detecting damage, the error between the measured data and the predicted response from the defined ARX model is computed in time and used for a statistical evaluation. A normal distribution function from the error in time is constructed and its statistical characteristic values are used for the evaluation of damage. By comparing the normal distribution functions before and after damage, three different types of damage indices are proposed. The efficiency and limitation of the proposed algorithm with the statistical evaluation of damage indices have been examined and discussed through laboratory experiments.

Improvement of Damage Localization Performance for CFRP-debonding defects using Piezo-electric Sensors (압전센서 기반 CFRP 부착면 탈락 손상영역 탐색성능 향상)

  • Kim, Ju-Won;Lee, Chang-Gil;Lee, Dong-Hwan;Chang, Ha-Joo;Park, Seung-Hee
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.311-314
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    • 2011
  • 최근 콘크리트 구조물의 안전성강화를 위해 탄소섬유 강화 플라스틱(CFRP) 보강 공법이 널리 사용되고 있지만 잘 알려진 바와 같이 CFRP 보강재와 콘크리트 표면사이의 부착면 탈락은 보강재 자체의 손상보다 발생할 확률이 높고 이러한 부착면 탈락은 보강의 효과를 무의미하게 만들기 때문에 구조물 전체의 파괴로 직결될 수 있다. 이에 본 연구에서는 CFRP 부착면 탈락손상을 실시간으로 검색하기 위해 압전센서를 사용하는 구조물 건전성 평가 기술을 적용하였다. 이의 검증을 위해 CFRP로 보강된 콘크리트 보를 제작하였고 3단계로 증가하는 부착면 탈락 손상을 발생시켰다. 손상 증가 단계마다 CFRP 표면에 배열된 압전센서로부터 임피던스와 유도초음파 신호를 계측하였고 손상에 따른 신호변화를 정량화하기 위해 손상지수인 RMSD를 계산하였다. 더 구체적인 부착면 탈락 손상위치 탐색을 위해서 두 가지 계측 기법으로부터 구해진 RMSD 값를 중첩시키는 Superposed RMSD 가 제안되었다. 구해진 Superposed RMSD 값을 사용하여 커브 피팅이 수행되었고 도출된 커브의 최고값에 해당하는 위치값을 찾아 실제 손상위치와 비교함으로써 제안된 기법의 가능성을 검증해 보았다.

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Detection of Acoustic Signal Emitted during Degradation of Lithium Ion Battery (리튬이온전지의 열화손상에 의한 음향방출 신호 검출)

  • Choi, Chan-Yang;Byeon, Jai-Won
    • Journal of the Korean Society for Nondestructive Testing
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    • v.33 no.2
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    • pp.198-204
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    • 2013
  • Acoustic emission(AE) signal was detected during charge and discharge of lithium ion battery to investigate relationships among cumulative count, discharge capacity, and microdamages. AE signal was received during accelerated charge/discharge cycle test of a coin-type commercial battery. A number of AE signals were successfully detected during charge and discharge, respectively. With increasing number of cycle, discharge capacity was decreased and AE cumulative count was observed to increase. Microstructural observation of the decomposed battery after cycle test revealed mechanical damages such as interface delamination and microcracking of the electrodes. These damages were attributed to sources of the detected AE signals. Based on a linear correlation between discharge capacity and cumulative count, feasibility of AE technique for evaluation of battery degradation was suggested.

Impact Damage Detection in a Composite Stiffened Panel Using Built-in Piezoelectric Active Sensor Arrays (배열 압전 능동 센서를 이용한 복합재 보강판의 충격 손상 탐지)

  • Park, Chan-Yik;Cho, Chang-Min
    • Composites Research
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    • v.20 no.6
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    • pp.21-27
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    • 2007
  • Low-velocity impact damage in a composite stiffened panel was detected using built-in piezoelectric active sensor arrays. Using these piezoelectric active sensors, various diagnostic signals were generated to propagate Lamb waves through the structure and the responses were picked up to detect changes in the structure's vibration signature due to the damage. Three algorithms - ADI(Active Damage Interrogation), TD RMS (Time Domain Root Mean Square) and STFT (Short Time Fourier Transform) - were examined to express the features of the signal changes as one damage index. From damage detecting tests, two impact induced delaminations were detected and the location was estimated with the algorithms and diagnostic signals.

Experimental Study for Characteristics of Assessment of Neural Networks for Structural Damage Detection (구조물의 손상평가용 신경망의 특성평가에 관한 실험적 연구)

  • Oh, Ju-Won;Heo, Gwang-Hee;Jung, Eui-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.14 no.5
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    • pp.179-186
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    • 2010
  • When a structure is damaged, its dynamic responses (natural frequency, acceleration, strain) are found to be changed. The ANN(Artificial Neural Network) damage-assesment method is that some measured dynamic signals from the structural changing dynamic responses are applied to ANN to assess the structural damage. Although there have been some studies on a certain typical cases so far, it is rare to find studies about the characteristics of the ANN damage-assesment method or about its applicability, its strength and weakness. So this study researches on the characteristics of ANN damage assesment method and on a problem in application of the various dynamic responses to ANN. What the ANN damage assessment method usually does in past researches is to teach an ANN by using some response signals obtained from damaged structures under one kind of excitations and to identify the locations and the extents of damage of same structures under the same excitations. However, the excitations inflicted on the structures are not always the same. Thus this study experiments whether a ANN which is trained using the same excitations is able to identify the damage when different excitations inflict. All response signals are obtained from experimental models.

Damage Monitoring for Wind Turbine Blade using Impedance Technique (임피던스 기법을 이용한 풍력 블레이드 손상 모니터링)

  • Huh, Yong-Hak;Kim, Jongil;Hong, Seonggu
    • Journal of the Korean Society for Nondestructive Testing
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    • v.33 no.5
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    • pp.452-458
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    • 2013
  • Impedance based monitoring technique was investigated to evaluate the damage occurring in wind turbine blade. In this study, PVDF film piezo sensors were patched on the 10 kW wind turbine blade, and impedance was measured over the frequency range of 1~200 MHz under fatigue loading. With applying fatigue loads on the blade, change in maximum deflection of the blade and local strain values could be obtained from the strain gages attached on the blade, and difference of the impedance signatures was also observed. From these data, it could be found that local damage or geometrical change in the blade structure happened. To quantitatively compare the impedance signature patterns, a statistical algorithm, scalar damage metric M was used. It was calculated from the impedance signatures considering fatigue loads and location of the sensors. The metric values were compared to correlate the metrics with damage in the blade.

Compensation Method for Improvement of Speech Recognition in Wireless Communication Network (무선 통신망에서 음성인식률 개선을 위한 보상기법 연구)

  • Seo Jin-Ho;Park Ho-Chong
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.65-68
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    • 2004
  • 이동통신 기술의 발전으로 이동통신 사용이 폭발적으로 증가하였고 그에 따라 이동통신망을 이용한 많은 서비스가 제공되고 있다. 이동통신망에서의 음성 인식 서비스에서 음성 인식기에 입력되는 음성신호는 통신망을 통해 음성 압축기를 거치게 되고 이에 음성신호가 왜곡되어 인식기의 인식성능이 저하된다. 본 논문에서는 무선통신 환경에서 음성인식기의 성능을 개선하기 위한 보상 방법을 제안한다. 기존의 제안된 방법은 음성 데이터에 의존하는 방법을 사용하나 본 논문에서는 음성 데이터와는 독립적 방법인 음성 압축기에 의해 손상된 입력 신호의 스펙트럼 보상방법과 Cepstrum 보정방법을 통해 인식률을 향상시키는 방법을 제안한다. 즉, 음성 압축기에 의하여 왜곡된 스펙트럼을 단계적 방법으로 보상하고 그를 토대로 왜곡된 신호에서 만들어진 Cepstrum을 보정하여 음성 인식기의 성능을 향상시키는 방법을 연구하였으며, 그 견과 손상된 음성신호의 인식률 $64.88\%$에 대하여, 본 논문에서 제안하는 보상 방법을 적용한 음성신호의 인식률은 $79.73\%$로서 $14.85\%$가 향상된 결과를 얻을 수 있었다.

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Damage Detection of Shear Building Structures Using Dynamic Response (동적응답신호를 이용한 전단형 건물의 손상추정)

  • Yoo, Suk-Hyeong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.18 no.3
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    • pp.101-107
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    • 2014
  • Damage location and extent of structure could be detected by the inverse analysis on dynamic response properties such as frequencies and mode shapes. The dynamic response of building structures has many noise and affected by nonstructural members and, above all, the behavior of building structure is more complex than civil structure and this makes the damage detection difficult. In recent researches the damage is detected by the indirect index such as sensitivity or assumed values. However, for the more reasonable damage detection, it needs to use the damage index directly induced from dynamic equation. The purpose of this study is to provide the damage detection method on shear building structures by the damage index directly induced from dynamic equation. The provided damage index could be estimated from measured mode shape of undamaged structure and frequency difference between undamaged and damaged structure. The damage detection method is applied to numerical analysis model such as MATLAB and MIDAS GENw for the verification. The damage index at damaged story represents (-) sign and 15 times than other undamaged sories.

Detection of Acoustic Signal Emitted during Corrosion of 304 Stainless Steel (304 스테인레스 강의 부식 손상 중 발생하는 음향방출신호 분석)

  • Wu, Kaige;Choe, Chan-Yang;Byeon, Jai-Won
    • Journal of the Korean Society for Nondestructive Testing
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    • v.33 no.5
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    • pp.409-414
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    • 2013
  • In this work, corrosion of 304 stainless steel was evaluated by using acoustic emission(AE) technique. AE measurement system was set for detecting acoustic signal during accelerated corrosion test of the specimen. AE signal started to be detected after the time of pitting corrosion initiation was evaluated by anodic polarization curve. Pitting corrosion damage was confirmed by optical microscopic observation of the surface morphology. AE cumulative counts and amplitude according to corrosion time could be divided into three stages. These trends were discussed in relation with changing pitting corrosion mechanism. Feasibilities of AE technique for evaluation of corrosion damage and mechanism were suggested.