• Title/Summary/Keyword: Fault Detecting

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The Experimental Comparison of Fault Detection Efficiency of Static Code Analysis Tools for Software RAMS (소프트웨어 RAMS를 위한 정적기법을 이용한 코드 결함 검출 효율성에 관한 실험적 비교)

  • Jang, Jeong-Hoon;Yun, Cha-Jung;Jang, Ju-Su;Lee, Won-Taek;Lee, Eun-Kyu
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.2493-2502
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    • 2011
  • For Static analysis of software code, an experienced tester prefer detecting defects with using selective static technique. Many cases of static method have been reported such as coding rules, software metrics, defect data, etc. However, many of analysis case only present effectiveness of static analysis, not enough description for how the tester judged to classify code defects used in code analysis and removed them properly for ensure high quality. Occasionally, there are materials to show the effect of through some examples through some examples. But difficult to gain trust, because of not enough detail for application process. In this paper, introduced the static technique commonly used in railway and applied to the real development challenges. And the each of results were compared and analyzed. It is hard to generalize the results of this parer. But can be used and referenced as a case of study.

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Insertion Path Extraction of Catheter for Coronary Angiography (관상동맥 조영술을 위한 카테터 삽입 경로 추출)

  • Kim, Sung-Hu;Lee, Ju-Won;Kim, Joo-Ho;Lee, Han-Wook;Jung, Won-Geun;Lee, Gun-Ki
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.4
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    • pp.951-956
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    • 2011
  • Coronary angiography technology is usually used for examining or treating coronary artery stenosis. Especially, when a cardiologist inserts catheter into the heart blood vessel, the catheter path detection system is needed because the cardiologist has difficulty in not damaging vessel. Recently, to reduce this difficulty, many searchers have been working for the various image processing technologies, such as vessel edge detection, optimal threshold method, etc. However the results of these searches are showing different performances depend on the contrast and quality of images. Therefore, this study for the coronary angiography suggests a novel algorithm to avoid these problems. The suggested algorithm consists of multi-sampling, interpolation, threshold method, and fault points elimination. To evaluate the performance of the proposed method, we used several angiographic images in experimentation, and we found that the proposed method is effective for detecting the catheter insertion path.

Real-Time Lane Detection Based on Inverse Perspective Transform and Search Range Prediction (역 원근 변환과 검색 영역 예측에 의한 실시간 차선 인식)

  • Jeong, Seung-Gweon;Kim, In-Soo;Kim, Sung-Han;Lee, Dong-Hwoal;Yun, Kang-Sup;Lee, Man-Hyung
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.3
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    • pp.68-74
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    • 2001
  • A lane detection based on a road model or feature all needs correct acquirement of information on the lane in an image. It is inefficient to implement a lane detection algorithm through the full range of an image when it is applied to a real road in real time because of the calculating time. This paper defines two (other proper terms including"modes") for detecting lanes on a road. First is searching mode that is searching the lane without any prior information of a road. Second is recognition mode, which is able to reduce the size and change the position of a searching range by predicting the position of a lane through the acquired information in a previous frame. It allows to extract accurately and efficiently the edge candidate points of a lane without any unnecessary searching. By means of inverse perspective transform which removes the perspective effect on the edge candidate points, we transform the edge candidate information in the Image Coordinate System(ICS) into the plan-view image in the World Coordinate System(WCS). We define a linear approximation filter and remove faulty edge candidate points by using it. This paper aims at approximating more correctly the lane of an actual road by applying the least-mean square method with the fault-removed edge information for curve fitting.e fitting.

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Application of Geophysical Survey for Detecting the Skarn Ore Deposit (스카른광체를 탐지하기 위한 물리탐사 적용)

  • Park, Chung-Hwa;Jung, Yeon-Ho;Lee, Yong-Dong;Park, Jong-Oh
    • The Journal of Engineering Geology
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    • v.20 no.1
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    • pp.71-78
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    • 2010
  • The Gagok mine is a contact metasomatic deposit, located at Gagok-myeon, Samcheok city and Cheoram-dong, Taebaek city, Gangwon province. The deposit lies within the limestone of Myobong and Pungchon formations, and exists the contact of intrusive granite porphyry. In order to determine the direction and extension of mineralization in the gallery and around the entrance of the ore deposit, we used the ground magnetic survey, the direct current (dc) resistivity survey using dipole-dipole array, and resistivity tomography survey. The ground magnetic survey did not detect the anomalous zone due to ore deposit, while the dc resistivity survey and resistivity tomography survey were successful in delineating the anomalous zone related to the extension of fault toward $N50^{\circ}W$.

The Convergence Application Example of Non-destructive Inspection System (비파괴 검사 시스템의 융합 적용 사례)

  • Lee, Jeong-Ick
    • Journal of the Korea Convergence Society
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    • v.8 no.3
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    • pp.191-197
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    • 2017
  • This development is for non-destructive machine using X-Ray source about detecting outline faults of below middle size products. The differentiation is product of research and development unspecialized small and medium-sized products using X-Ray light sources can check real time if the surface of an external fault of radiation dose reference, within the leakage. The speed control is possible by software solution. In addition, we're working on possibly block doors for worker safety and equipment at the same time that inner drive can be identified in the image. These principles, as a key enabler of the current inspection system such as the container is small to medium-sized parts - a long way from utilization level is possible. This research will give rise to major effects for other various non-destructive market industries except car-industry. The most important fact is that this developed non-destructive machine is controlled below $0.2micro-S{\mu}v$.

Detection and Identification of CMG Faults based on the Gyro Sensor Data (자이로 센서 정보 기반 CMG 고장 진단 및 식별)

  • Lee, Jung-Hyung;Lee, Hun-Jo;Lee, Jun-Yong;Oh, Hwa-Suk;Song, Tae-Seong;Kang, Jeong-min;Song, Deok-ki;Seo, Joong-bo
    • Journal of Aerospace System Engineering
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    • v.13 no.2
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    • pp.26-33
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    • 2019
  • Control moment gyro (CMG) employed as satellite actuators, generates a large torque through the steering of its gimbals. Although each gimbal holds a high-speed rotating wheel, the wheel imbalances induces disturbance and degrades the satellite control quality. Therefore, the disturbances ought to be detected and identified as a precaution against actuator faults. Among the method used in detecting disturbances is the state observers. In this paper, we apply a continuous second order sliding mode observer to detect single disturbances/faults in CMGs. Verification of the algorithm is also done on the hardware satellite simulator where four CMGs are installed.

A Comparative Study on the Methodology of Failure Detection of Reefer Containers Using PCA and Feature Importance (PCA 및 변수 중요도를 활용한 냉동컨테이너 고장 탐지 방법론 비교 연구)

  • Lee, Seunghyun;Park, Sungho;Lee, Seungjae;Lee, Huiwon;Yu, Sungyeol;Lee, Kangbae
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.23-31
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    • 2022
  • This study analyzed the actual frozen container operation data of Starcool provided by H Shipping. Through interviews with H's field experts, only Critical and Fatal Alarms among the four failure alarms were defined as failures, and it was confirmed that using all variables due to the nature of frozen containers resulted in cost inefficiency. Therefore, this study proposes a method for detecting failure of frozen containers through characteristic importance and PCA techniques. To improve the performance of the model, we select variables based on feature importance through tree series models such as XGBoost and LGBoost, and use PCA to reduce the dimension of the entire variables for each model. The boosting-based XGBoost and LGBoost techniques showed that the results of the model proposed in this study improved the reproduction rate by 0.36 and 0.39 respectively compared to the results of supervised learning using all 62 variables.

Development of IoT-based real-time Toxic Chemical management System (IoT 기반의 실시간 유해 화학물 관리 시스템 개발)

  • Kang, Min-Soo;Ihm, Chunhwa;Jung, Yong-Gyu;Lee, Minho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.5
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    • pp.143-149
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    • 2016
  • Recent accidents caused by toxic chemicals and the social problems caused by frequent. As of 2010, there are more than 100,000 types of deadly toxic chemicals being distributed throughout Korea, and severely intoxicated patients along with an enormous number of patients can be induced at the time of an accident involving deadly toxic chemicals. Internationally, the seriousness of large-scale disasters due to a NBC disaster (nuclear, biologic and chemical disaster) is being highlighted as well. So, we obtain the information of the RFID tag attached to a glass bottle with containing the toxic chemical to transfer the data to the smart device has been studied a system that can monitor the status of the toxic chemical in real time. The proposed system is the information was sent to the main system using a zigbee communication by recognizing the tag vial containing the toxic chemical with the 13.56MHz bandwidths good permeability. User may check the information in real time by utilizing the smart device. However, the error of the system for managing the toxic chemical generates a result that can not be predicted. Failure of the system was detecting the error by using a comparator as this can cause an error. And the detected error proposed a duplex system so that they do not affect the overall system.

Study on Signal Processing in Eddy Current Testing for Defects in Spline Gear (스플라인 기어부 결함의 와전류검사 신호처리에 관한 연구)

  • Lee, Jae Ho;Park, Tae Sung;Park, Ik Keun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.36 no.3
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    • pp.195-201
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    • 2016
  • Eddy current testing (ECT) is commonly applied for the inspection of automated production lines of metallic products, because it has a high inspection speed and a reasonable price. When ECT is applied for the inspection of a metallic object having an uneven target surface, such as the spline gear of a spline shaft, it is difficult to distinguish between the original signal obtained from the sensor and the signal generated by a defect because of the relatively large surface signals having similar frequency distributions. To facilitate the detection of defect signals from the spline gear, implementation of high-order filters is essential, so that the fault signals can be distinguished from the surrounding noise signals, and simultaneously, the pass-band of the filter can be adjusted according to the status of each production line and the object to be inspected. We will examine the infinite impulse filters (IIR filters) available for implementing an advanced filter for ECT, and attempt to detect the flaw signals through optimization of system design parameters for detecting the signals at the system level.