• Title/Summary/Keyword: defect pattern

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COF Defect Detection and Classification System Based on Reference Image (참조영상 기반의 COF 결함 검출 및 분류 시스템)

  • Kim, Jin-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.8
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    • pp.1899-1907
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    • 2013
  • This paper presents an efficient defect detection and classification system based on reference image for COF (Chip-on-Film) which encounters fatal defects after ultra fine pattern fabrication. These defects include typical ones such as open, mouse bite (near open), hard short and soft short. In order to detect these defects, conventionally it needs visual examination or electric circuits. However, these methods requires huge amount of time and money. In this paper, based on reference image, the proposed system detects fatal defect and efficiently classifies it to one of 4 types. The proposed system includes the preprocessing of the test image, the extraction of ROI, the analysis of local binary pattern and classification. Through simulations with lots of sample images, it is shown that the proposed system is very efficient in reducing huge amount of time and money for detecting the defects of ultra fine pattern COF.

Clinical Analysis Of Ventricular Septal Defect (심실중격결손증의 외과적 고찰)

  • Seong, Suk-Hwan;Suh, Kyung-Pill
    • Journal of Chest Surgery
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    • v.15 no.1
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    • pp.90-97
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    • 1982
  • Two hundred one patients of ventricular septal defect, which were operated at Seoul National University Hospital, were analysed on clinical background during the period from January, 1975 to December, 1980. The results were as follows: 1. Of the 201 patients, 118 patients were male [58.7%] and 83 patients were female [41.3%]. Their age ranged from 15 months to 40 years, and the mean age was 8.7 years. 40% of the patients were between 4 and 8 years. 2. The most common symptoms showed frequent U RI and exertional dyspnea. 3. On Kirklin`s anatomical classification, type I constituted 26.9%, type II 58.2%, type III 12.4%, and type IV 1.0%. We showed marked increased incidence of type I VSD as compared to Caucasians* 4. 46 cases were associated with other congenital cardiac diseases. They were PDA [13 cases], AI[11 ], ASD[6], PS[10], MI[4], and Double aortic arch [1]. 5. In 128 patients, who had complete hemodynamic data and were not associated with other congenital cardiac diseases, an attempt was made to correlate the EKG findings with the hemodynamic data, and defect size with the hemodynamic data. The children had variable distribution of PA syst. pr. and Rp/Rs. But most of adults had $R_P$/$R_S$of 0.15 or less. As $P_P$/$P_S$increased, the rate of operative complication increased also. 6. When a normal EKG pattern was present, $Q_P$/$Q_S$and $R_P$/$R_S$and $P_P$/$P_S$were relatively low. When EKG findings were LVH pattern, there was diastolic volume overload to left ventricle. As RVH, there was systolic pressure overload to right ventricle. And as BVH, there was mixed pattern of diastolic volume overload to left ventricle and systolic pressure overload to right ventricle. 7. Among patients in defect was less than 1 $cm^2$ per $M^2$ of BSA, $Q_P$/$Q_S$was less than 2:1, and $R_P$/$R_S$less than 0.25, and PAsyst. pr. less than 50 mmHg, and $P_P$/$P_S$was less than 0.5. But patients with the defect greater than 1 $cm^2$ per $M^2$ of BSA had no correlationship between $Q_P$/$Q_S$, $R_P$/$R_S$, PAsyst. pr. and defect size in each other. Most of patients with the defect greater than 2 $cm^2$/$M^2$ BSA, $R_P$/$R_S$was greater than 0.5. 8. Operative mortality rate was 9.5% [19 cases] among 201 patients. And complication rate including mortality rate was 22.9% [46 cases].

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Analysis of Defect in CANDU Feeder Pipe using Phased Array Ultrasonic Inspection System (냉각재 공급자관 위상배열 검사 적용에 따른 결함 분석)

  • Lee, Sang-Hoon;Jin, Seuk-Hong;Kim, In-chul
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.6 no.1
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    • pp.78-82
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    • 2010
  • The feeder pipe of Main Primary Heat Transfer System in Wolsong Nuclear Power Plant was inspected by the Ultrasonic Phase Array technique in 2010. It is the first time to apply this method to the construction at Nuclear Power Plant in Korea. The time required for UT technique is less than RT method. The UT method doesn't need to evacuate personnel who works nearby inspecting area and doesn't need to wait developing of film. For these reasons, the UT method is the fastest method among the volumetric inspections. As a result of the examination, it became clear that main defect of the feeder pipe is the Lack of fusion in the welded area. Moreover, the rate of defect was reduced gradually as improvement of welder's skill. If welding machine has problem, the defect has tended to same pattern(occurred same position in the welding area) but these defects were founded without specific rules. For these reasons, the creation of defect is dependent on the skill of worker not on the automatic welding machine. This evaluation of defect signal and collecting data would be useful to further examination in ISI.

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Ultrasonic Pattern Recognition of Welding Defects Using the Chaotic Feature Extraction (카오스 특징 추출에 의한 용접 결함의 초음파 형상 인식)

  • Lee, Won;Yoon, In-Sik;Lee, Byung-Chae
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.6
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    • pp.167-174
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    • 1998
  • The ultrasonic test is recognized for its significance as a non-destructive testing method to detect volume defects such as porosity and incomplete penetration which reduce strength in the weld zone. This paper illustrates the defect detection in the weld zone of ferritic carbon steel using ultrasonic wave and the evaluation of pattern recognition by chaotic feature extraction using time series signal of detected defects as data. Shown in the time series data were that the time delay was 4 and the embedding dimension was 6 which indicate the geometric dimension of the subject system and the extent of information correlation. Based on fractal dimension and lyapunov exponent in quantitative chaotic feature extraction, feature value of 2.15, 0.47 is presented for porosity and 2.24, 0.51 for incomplete penetration The precision rate of the pattern recognition is enhanced with these values on the total waveform of defect signal in the weld zone. Therefore, we think that the ultrasonic pattern recognition method of weld zone defects of ferritic carbon steel by ultrasonic-chaotic feature extraction proposed in this paper can boost precision rate further than the existing method applying only partial waveform.

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Dipole Model to Predict the Rectangular Defect on Ferromagnetic Pipe

  • Suresh, V.;Abudhair, A.
    • Journal of Magnetics
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    • v.21 no.3
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    • pp.437-441
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    • 2016
  • Dipole model based analytical expression is proposed to estimate the length and depth of the rectangular defect on ferromagnetic pipe. Among the three leakage profiles of Magnetic Flux Leakage (MFL), radial and axial leakage profiles are considered in this work. Permeability variation of the specimen is ignored by considering the flux density as close to saturation level of the inspected specimen. Comparing the profile of both the components, radial leakage profile furnishes the better estimation of defect parameter. This is evident from the results of error percentage of length and depth of the defect. Normalized pattern of the proposed analytical model radial leakage profile is good agreement with the experimentally obtained profile support the performance of proposed expression.

A Study on Pattern Characteristics of Multi-Defect Partial Discharge (다중결함 부분방전의 패턴특성 연구)

  • Lee, June-Ho
    • Proceedings of the KIEE Conference
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    • 1998.11c
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    • pp.970-972
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    • 1998
  • In practice, there may be various defects in an insulating system, so that the PD signals can be produces from these defect simultaneously. Regarding these situations, we have to discriminate the type of defect as well as to determine whether the PD occurs or not. In our research. some analysis results of the PD signals from multi-defects insulating system will be presented. We measure the PD signals using three kind of electrode system: IEC(b). Needle-Plane and mixed electrodes. To simulate multi-defect systems, we combine two electrode systems and apply test voltage simultaneously. Neural network, statistical analysis methods will be tested, and the possibilities and limitations of each method will be clarified.

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The Evaluation of Thin Pressure Vessel′s Internal Defects by Laser Shearography (레이저 전단 간섭계를 이용한 압력용기의 내부 결함 평가)

  • 장경영;장석원;현민관
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.929-933
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    • 2003
  • Internal defects of thin pressure vessel used in the power plants or the chemical plants may be created and grow due to corrosion or creep fatigue to reduce the strength and cause critical failure during operation. Therefore it is very important to detect this defect at the early stage. For this purpose, non-destructive, non-contact and highly sensitive method should be considered for on-line application. In this paper, a laser shearographic interferometer is applied to inspect circular defects and notch defects existed inside of thin pressure vessel under the presence of pressure up to 3 times of atmospheric pressure. The influences of the defect shape and size as well as the internal pressure to the characteristic pattern in the shearography fringe are investigated, and the quantitative evaluation of the defect size is tried. Also the experimental results are compared with the destructive test results to show the applicability of this method to the quantitative evaluation of internal defects in the thin pressure vessel.

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Laser Generation of Focused Lamb Waves

  • Jhang, Kyung-Young;Kim, Hong-Joon;Kim, Hyun-Mook;Ha, Job
    • Journal of the Korean Society for Nondestructive Testing
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    • v.22 no.6
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    • pp.637-642
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    • 2002
  • An arc-shaped line array slit has been used for the laser generation of focused Lamb waves. The spatially expanded Nd:YAG pulse laser was illuminated through the arc-shaped line array slit on the surface of a sample plate to generate the Lamb waves of the same pattern as the slit. Then the generated Lamb waves were focused at the focal point of which distance from the slit position is dependent on the curvature of slit arc. The proposed method showed better spatial resolution than the conventional linear array slit in the detection of laser machined linear defect and drill machined circular defect on aluminum plates of 2mm thickness. Using the focused waves, we could detect the linear defect and the circular defect with the improvement of spatial resolution. The method can also be combined with the scanning mechanism to get an image just like by the scanning acoustic microscope(SAM).

Defect Detection of Wall Thinned Straight Pipe using Shearography and Lock-in Infrared Thermography (전단간섭계와 적외선열화상을 이용한 감육 직관의 결함검출)

  • Kim, Kyeong-Suk;Jung, Hyun-Chul;Chang, Ho-Seob;Kim, Ha-Sig;La, Sung-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.11
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    • pp.55-61
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    • 2009
  • The wall thinning defect of nuclear power pipe is mainly occurred by the affect of the flow accelerated corrosion (FAC) of fluid. This type of defect becomes the cause of damage or destruction of in carbon steel pipes. Therefore, it is very important to measure defect which is existed not only on the welding part but also on the whole field of pipe. This study use dual-beam Shearography, which can measure the out-of-plane deformation and the in-plane deformation by using another illuminated laser beam and simple image processing technique. And this study proposes Infrared thermography, which is a two-dimensional non-contact nondestructive evaluation that can detect internal defects from the thermal distribution by the inspection of infrared light radiated from the object surface. In this paper, defect of nuclear power pipe were, measured using dual-beam shearography and infrared thermography, quantitatively evaluated by the analysis of phase map and thermal image pattern.

The Defect Detection and Evaluation of Austenitic Stainless Steel 304 Weld Zone using Ultrasonic Wave and Neuro (초음파와 신경망을 이용한 오스테나이트계 스테인리스강 304 용접부의 결함 검출 및 평가)

  • Yi, Won;Yun, In-Sik
    • Journal of Welding and Joining
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    • v.16 no.3
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    • pp.64-73
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    • 1998
  • This paper is concerned with defects detection and evaluation of heat affected zone (HAZ) in austenitic stainless steel type 304 by ultrasonic wave and neural network. In experiment, the reflected ultrasonic defect signals from artificial defects (side hole, vertical hole, notch) of HAZ appears as beam distance of prove-defect, distance of probe-surface, depth of defect-surface on CRT. For defect classification simulation, neural network system was organized using total results of ultrasonic experiment. The organized neural network system was learned with the accuracy of 99%. Also it could be classified with the accuracy of 80% in side hole, and 100% in vertical hole, 90% in notch about ultrasonic pattern recognition. Simulation results of neural network agree fairly well with results of ultrasonic experiment. Thus were think that the constructed system (ultrasonic wave - neural network) in this work is useful for defects dection and classification such as holes and notches in HAZ of austenitic stainless steel 304.

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