• Journal of IKEEE
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• v.6 no.1 s.10
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• pp.102-110
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• 2002

An effective scheme to detect and diagnose multiple failures in a dynamic system is described for the case where the measurement noise is correlated sequentially in time. It is based on the modified interacting multiple model (MIMM) estimation algorithm in which a generalized decorrelation process is developed by employing the autoregressive (AR) model for the colored noise and applying measurement difference method.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.04a
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• pp.138-142
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• 1999

심장의 수축 및 이완기에서의 좌심실 벽 움직임은 허혈 및 심근경색증과 같은 심장질환에서 영상적 진단의 주요한 특징이다. 심장은 동적 기관으로써 진단을 위해서는 속도와 같은 4차원 파라미터의 추정이 필요하다. 본 논문에서는 심장의 좌심실 형태 및 움직임을 모델링하여 동적으로 가시화하는 방법을 제시한다. 본 논문에서는 좌심실을 Dynamic Gaussian Blob 모델로 근사화하였다. 이 모델은 가우시안 함수 기반 FEM 요소와 superellipsoid를 통합한 것으로 좌심실의 형태 및 벽의 움직임을 물리기반 방법에 의해 묘사할 수 있다. 즉, 일련의 영상들로부터 좌심실 벽에 대응되는 3차원 점들을 추출한 후 이 점들에 작용되는 힘에 의해 박동하는 좌심실의 움직임을 추적한다. 이와 같은 좌심실 벽 움직임 시뮬레이션은 심장 움직임에 이상이 있는 질환의 진단을 위한 빠르고 간편한 보조 도구로써 사용되어질 수 있다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.4
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• pp.43-48
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• 2015

In this study, a method to enhance the dynamic range of seismic sensor is proposed. The low frequency noise included in the measurement of seismic sensor is modelled as an ARMA(Auto Regressive Moving Average) model and the order and parameters of the model are identified through system identification method. The identified noise model is augmented into Kalmman filter which estimate seismic signal from sensor measurement. The proposed method is applied to a newly developed seismic sensor which is MEMS based 3-axis accelerometer type. The experiment show that the proposed method can enhance the dynamic range compared to the simple low pass filtering.

• Magazine of the Korea Institute for Structural Maintenance and Inspection
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• v.17 no.1
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• pp.10-19
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• 2013

• Journal of Intelligence and Information Systems
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• v.5 no.2
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• pp.29-42
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• 1999

현재 산업의 고도상장과 함께 주기적으로 고장을 진단하여야 하는 기기의 수와 종류도 급속도로 증가하고 있다. 이에 따라 여러 산업 분야에서 고장진단 시스템의 이용이 늘고 있는 추세이다. 이러한 고장진단 시스템은 경험적 고장진단 방식과 모델기반 고장 진단 방식으로 크게 나눌 수 있다. 경험적 고장진단 방식은 전문가가 경험한 사실의 범주에서는 신속하게 고장의 원인을 진단할 수 있지만 전문가가 경험하지 못했던 상황에 대해서는 융통성 있게 진단하지 못한다. 한편 기기의 물리적 기능적 지식을 기반으로 하는 모델기반 고장진단 방식을 변화하는 상황에 적절하게 대처하여 고장의 원인을 진단할 수 있다. 그러나 모델기반 고장진단 방식을 기기의 구조로부터 증상들을 추론하여 원인을 파악하므로 탐색 범위가 넓어 진단속도가 늦다는 단점이 있다. 본 연구에서는 이러한 경험적 고장진단 방식과 기기의 모델기반 고장진단 방식의 장점을 결합하여 신속하고 정확하게 고장진단을 할 수 있는 통합방식 고장진단 시스템을 제시한다. 통합방식 고장진단 시스템은 대상 기기의 진단 상태에 따라서 동적으로 적절한 진단 방식을 선택하기 위해서 블랙보드 추론기관을 이용한다. 또한 각 진단방식이 생성하는 가설 및 사실들을 효과적으로 통합하여 추론하기 위해서 제어지식을 정의하여 적용한다. 그리고 사용자와 진단 시스템간에 원활한 의사소통을 위해서 멀티미디어 기반 인터페이스를 채용하여 통합방식 진단 시스템을 구축한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.11 no.6
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• pp.213-219
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• 2007

This study was intended to estimate of relative compaction on the ground under the load using of portable FWD. The outcome in the wake of the study is highlighted as below. Viewing the variation of dynamic deflection modulus depending on a number of compaction, when a number of compaction increased to 8 (18.3MPa) from 4 (15Mpa), a dynamic deflection modulus increased 27%, and when a number reached to 12 (27.9MPa), it doubled the value indicated in 4. Viewing the relationship between dry density and dynamic deflection modulus in line with the increase in a number of compaction, a number of compaction by the roller reaching to the degree of compaction equivalent to 95% of max dry density was 13, with a dynamic deflection modulus indicating 27MPa ~ 29MPa.

• The Journal of Korean Orthopaedic Ultrasound Society
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• v.3 no.2
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• pp.79-83
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• 2010

Musculoskeletal ultrasonography has been used as a convenient and simple tool for diagnosis of various conditions of orthopaedic diseases for many years. Generally magnetic resonance imaging (MRI) is thought to be the best method to search for anatomical structures or variations. However, for dynamic conditions such as dislocation or subluxation of tendons and nerves, MRI is not superior to ultrasonography, especially dynamic ultrasonography. So we present such a patient with an ulnar nerve subluxation at the elbow who has symtoms mimicking cubital tunnel syndrome diagnosed by dynamic ultrasonography and treated successfully by ulnar nerve anterior transposition and think that dynamic ultrasonography is a useful method for diagnosing dynamic condition such as ulnar nerve subluxation mimicking cubital tunnel syndrome.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.4
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• pp.1-8
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• 2013

Constitutive modeling of constituent materials is very important for reinforced concrete (RC) frames. Cyclic constitutive behavior of unconfined concrete, confined concrete and reinforcing steel should be well defined in fiber-based discretization of RC sections. This study performs nonlinear dynamic analyses of RC frame structures to investigate the sensitivity of seismic behavior of such frames to different constitutive models of constituent materials. The study specifically attempts to examine confinement effects in concrete modeling and degrading effects in steel modeling, which substantially affects the monotonic, cyclic and seismic responses of RC members and frames. Based on the system level analysis, it is shown that the response of non-ductile frames is less sensitive to confined concrete models while the modeling of reinforcing steel is quite influential to the inelastic response of both non-ductile and ductile frames.

• 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.231-242
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• 2009

The baseline distribution of a structure represents the statistical distribution of dynamic response feature from the healthy state of the structure. Generally, damage-sensitive dynamic response feature of a structure manifest themselves near the tail of a baseline statistical distribution. In this regard, some researchers have paid attention to extreme value distribution for modeling the tail of a baseline distribution. However, few researches have been conducted to theoretically understand the extreme value distribution from a perspective of statistical damage assessment. This study investigates the asymptotic convergence of domain of attraction in extreme value distribution through parameter estimation, which is needed for reliable statistical damage assessment. In particular, the asymptotic convergence of a domain of attraction is quantified with respect to the sample size out of which each extreme value is extracted. The effect of the sample size on false positive alarms in statistical damage assessment is quantitatively investigated as well. The validity of the proposed method is demonstrated through numerically simulated acceleration data on a two span continuous truss bridge.

• Journal of radiological science and technology
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• v.32 no.3
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• pp.277-283
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• 2009

It is important to get clinical ultrasonic images of good quality for accurate diagnosis. In this study, it observed the change of ultrasonic images against setting frequency, dynamic range(DR) and type of probes on ultrasonic scanner. In the experiment it evaluated image of LCS (Low Contrast Sensitivity) targets(-15, -6, -3, +3, +6, +15 dB) of a standard ultrasonic test phantoms(539,551, ATS, USA) similar to solid and cystic lesions. Its imaged from convex (C3-7IM) and linear probe (L5-12IM) on SA-9900 (Medison Ltd, Korea) scanner. The images obtained altering the setting parameters which are frequency(gen, pen, res, harmonic) mode and DR($40{\sim}100\;dB$). The quality of images evaluated compare with the nominal LCS value of target and measured LCS value. The results show that there was no significant changing of quality images altering DR 40, 60, 80, 100 dB against frequency in Convex probe but the image being the highest in LCS target at DR 60 dB, harmonic of frequency mode in the -15 dB target close to cystic lesion. In Linear probe, DR 40 dB, harmonic mode at -15 dB LCS target close to nominal value. It discussed necessity of evaluation about ROC(Receiver Operating Characteristic) from the psychological viewpoint and limit of evaluation from quantified images.