• Earthquakes and Structures
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• 제12권3호
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• pp.321-332
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• 2017

The reverse fault is a dangerous geological hazard faced by buried steel pipelines. Permanent ground deformation along the fault trace will induce large compressive strain leading to buckling failure of the pipe. A hybrid pipe-shell element based numerical model programed by INP code supported by ABAQUS solver was proposed in this study to explore the strain performance of buried X80 steel pipeline under reverse fault displacement. Accuracy of the numerical model was validated by previous full scale experimental results. Based on this model, parametric analysis was conducted to study the effects of four main kinds of parameters, e.g., pipe parameters, fault parameters, load parameter and soil property parameters, on the strain demand. Based on 2340 peak strain results of various combinations of design parameters, a semi-empirical model for strain demand prediction of X80 pipeline at reverse fault crossings was proposed. In general, reverse faults encountered by pipelines are involved in 3D oblique reverse faults, which can be considered as a combination of reverse fault and strike-slip fault. So a compressive strain demand estimation procedure for X80 pipeline crossing oblique-reverse faults was proposed by combining the presented semi-empirical model and the previous one for compression strike-slip fault (Liu 2016). Accuracy and efficiency of this proposed method was validated by fifteen design cases faced by the Second West to East Gas pipeline. The proposed method can be directly applied to the strain based design of X80 steel pipeline crossing oblique-reverse faults, with much higher efficiency than common numerical models.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.348-358
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• 2022

Software fault prediction is a method to compute fault in the software sections using software properties which helps to evaluate the quality of software in terms of cost and effort. Recently, several software fault detection techniques have been proposed to classifying faulty or non-faulty. However, for such a person, and most studies have shown the power of predictive errors in their own databases, the performance of the software is not consistent. In this paper, we propose a hybrid soft computing technique for SFP based on optimal feature extraction and classification (HST-SFP). First, we introduce the bat induced butterfly optimization (BBO) algorithm for optimal feature selection among multiple features which compute the most optimal features and remove unnecessary features. Second, we develop a layered recurrent neural network (L-RNN) based classifier for predict the software faults based on their features which enhance the detection accuracy. Finally, the proposed HST-SFP technique has the more effectiveness in some sophisticated technical terms that outperform databases of probability of detection, accuracy, probability of false alarms, precision, ROC, F measure and AUC.

• 한국지반공학회논문집
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• 제15권4호
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• pp.99-112
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• 1999

막장 전방에 파쇄대 등의 불연속면이 존재할 경우, 이를 미리 예측하지 못한채로 굴진을 하게 되면 파쇄대로 인해 터널 굴진에 따라 발생된 종방향 아칭에 영향을 주어 막장면 전방에 응력이 집중하게 된다. 터널 및 지하공간의 설계시에는 불확실한 설계요소를 과다하게 내포하고 있으므로 경제적이고 안정성이 확보된 터널 시공을 위해서는 터널 막장면에서의 정확한 계측으로 막장 전방의 파쇄대를 예측하여 터널 지보체계에 신속히 대비함이 필요하다. 최근의 연구결과에 의하면 3차원 절대변위계측에 의해 터널의 시공 시 굴진에 따라 지반의 강도차이로 인해 발생된 종방향 변위의 변화를 측정하여 막장 전방의 불연속면을 미리 예측할 수 있다고 하였다. 본 연구는 혼합법을 사용한 3차원 수치해석으로부터 얻어지는 변위로부터 L/C (천단부의 종방향 변위[L]와 천단부의 침하량[C]의 비 )와 S/C (측벽의 수평방향 변위[S]와 천단부의 침하량[C]의 비), (Ll-Lr)/C (좌측벽의 종방향변위[Ll]와 우측벽의 종방향변위[Lr]의 차와 천단부의 침하량[C]의 비), 평사투영법을 중심으로 지반에 파쇄대가 존재할 경우에 대해 여러 가지 초기 지중응력조건에서 터널 굴착에 따른 3차원 절대 변위를 분석하여 그 존재를 예측할 수 있는 기법을 제시하였다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권2호
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• pp.57-64
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• 2014

입력 모듈의 결함경향성을 결정하는 결함 예측 모델 연구들은 대부분 훈련 데이터 집합을 사용하는 감독형 모델에 관련된 것들이었다. 하지만 과거 데이터 집합이 없거나 데이터 집합이 있더라도 현재 프로젝트와 성격이 다른 경우는 비감독형 모델이 필요하며, 이들에 관한 연구들은 모델 구축의 어려움 때문에 극소수 존재한다. 본 논문에서는 기존 비감독형 모델 연구들에서 사용하지 않은 대표적인 클러스터링 알고리즘인 EM, DBSCAN을 사용한 비감독형 모델들을 제작하여, 기존 연구들에서 사용한 K-means 모델과 성능을 비교하였다. 그 결과 오류율 면에서 EM이 K-means보다 약간 나은 성능을 보였으며, DBSCAN은 두 모델에 떨어지는 성능을 보였다.

• 한국소음진동공학회논문집
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• 제21권3호
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• pp.199-205
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• 2011

This paper proposes a framework to predict the mechanical fault of hot rolling mill system (HRMS). The optimum process of HRMS is usually identified by the rotating velocity of working roll. Therefore, observing the velocity of working roll is relevant to early know the HRMS condition. In this paper, we propose the framework which consists of two methods namely spectrum matrix which related to case-based fast Fourier transform(FFT) analysis, and three dimensional condition monitoring based on novel visualization. Validation of the proposed method has been conducted using vibration data acquired from HRMS by accelerometer sensors. The acquired data was also tested by developed software referred as hot rolling mill facility analysis module. The result is plausible and promising, and the developed software will be enhanced to be capable in prediction of remaining useful life of HRMS.

• Journal of Information Processing Systems
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• 제8권2호
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• pp.241-262
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• 2012

An understanding of quality attributes is relevant for the software organization to deliver high software reliability. An empirical assessment of metrics to predict the quality attributes is essential in order to gain insight about the quality of software in the early phases of software development and to ensure corrective actions. In this paper, we predict a model to estimate fault proneness using Object Oriented CK metrics and QMOOD metrics. We apply one statistical method and six machine learning methods to predict the models. The proposed models are validated using dataset collected from Open Source software. The results are analyzed using Area Under the Curve (AUC) obtained from Receiver Operating Characteristics (ROC) analysis. The results show that the model predicted using the random forest and bagging methods outperformed all the other models. Hence, based on these results it is reasonable to claim that quality models have a significant relevance with Object Oriented metrics and that machine learning methods have a comparable performance with statistical methods.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권1호
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• pp.1-6
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• 2003

The Delayed Feedback Control method (DFC) proposed by Pyragas applies an input based on the difference between the current state of the system, which is generating chaos orbits, and the $\tau$-time delayed state, and stabilizes the chaos orbit into a target. In DFC, the information about a position in the state space is unnecessary if the period of the unstable periodic orbit to stabilize is known. There exists the fault that DFC cannot stabilize the unstable periodic orbit when a linearlized system around the periodic point has an odd number property. There is the chaos control method using the prediction of the $\tau$-time future state (PDFC) proposed by Ushio et al. as the method to compensate this fault. Then, we propose a method such as improving the fault of the DFC. Namely, we combine DFC and PDFC with parameter W, which indicates the balance of both methods, not to lose each advantage. Therefore, we stabilize the state into the $\tau$ periodic orbit, and ask for the ranges of Wand gain K using Jury' method, and determine the quasi-optimum pair of (W, K) using a genetic algorithm. Finally, we apply the proposed method to a discrete-time chaotic system, and show the efficiency through some examples of numerical experiments.

• 한국군사과학기술학회지
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• 제22권6호
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• pp.824-831
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• 2019

For effective development in consideration of the maintainability of the weapon system, it is necessary to understand whether the maintainability design requirements are satisfied at the early phase of development. This requires the application of an early design phase maintainability prediction process to provide opportunities for improvement. By defining the ambiguity group definition, fault isolation level, fault isolation probability, and countermeasures for faults, it was possible to predict early phase development. The MTTR of the initial design phase applying Procedure V to the artillery system was 3.46H, which is about 16 % higher than 2.98H, the MTTR using Procedure II. This is a result of system design ambiguity that has not been specified in the early phase of development.

• 한국터널지하공간학회 논문집
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• 제4권3호
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• pp.235-245
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• 2002

본 연구는 터널 굴착시 막장 전방의 지반변화를 사전에 예측할 수 있는 방법을 제시하고자 하였다. 이를 위하여 막장 전방에 파쇄대가 방향성을 가지고 존재 할 때 터널의 3차원 해석을 통하여 터널의 내공변위의 변화 경향을 살펴보았으며, 이를 통하여 막장전방의 지반 변화를 파악하고자 하였다. 이러한 터널의 내공변위의 변화는 경향선과 영향선을 이용하여 표현할 수 있으며 이를 이용하여 막장 전방에 존재하는 파쇄대를 예측하고자 하였다. 수치해석 결과에 의하면 막장전방에 파쇄대가 존재 할 경우 막장이 파쇄대에 접근할 수록 급격한 경향선의 변화가 나타난다. 또한 파쇄대가 방향성을 가지고 있는 경우에는 경향선의 급격한 변화 외에 측벽부의 변위 경향이 비대칭을 이루므로 인하여 평사투영도 상에 나타난 변위가 비대칭을 형성하는 것으로 파악되었다. 이러한 수치해석결과에 의한 내공변위 해석결과를 현장 계측 자료와 비교하였으며, 현장에서 계측한 오차를 줄일 수 있도록 계측데이터가 정규분포 한다고 가정하여 현장데이터를 분석한 결과 막장전방의 파쇄대의 존재 유무를 파악할 수 있는 것으로 나타났다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 C
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• pp.1213-1216
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• 1998

This paper presents the result of a feasibility study for the prediction method of fault symptoms on 22.9kV distribution line. In this paper, real distribution data was collected and analyzed to isolate failure signatures or parameters which were distinct behaviors before and after failure incident. A new strategy of analysis-based (event-date concept) prediction algorithm for the distribution insulators and a developed model system were also discussed.