• Title/Summary/Keyword: series model

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Optimal System Burn-in for Maximizing Reliability of Non-series Systems (비 직렬 시스템의 신뢰도 최적화를 위한 시스템 번인)

  • Kim, Kyungmee O.
    • Journal of Korean Institute of Industrial Engineers
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    • v.33 no.2
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    • pp.273-281
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    • 2007
  • The decision of how long performing system burn-in must be answered with a probabilistic model of a system lifetime at which infant mortality failures created during assembly processes are quantified. In this paper, we propose such a model which is modified from previous results. Using the system model, we derived system reliability in terms of component and system burn-in times for the two cases of minimal repair at system failure and of component replacement and connection repair at their failure times. The procedure is illustrated with a bridge system and the optimal system burn-in times are obtained for maximizing system reliability. The result suggests that an assumption of minimal repair at system failure may underestimate the optimal burn-in time in practice.

Study of viscoelastic model for harmonic waves in non-homogeneous viscoelastic filaments

  • Kakar, Rajneesh;Kaur, Kanwaljeet;Gupta, Kishan Chand
    • Interaction and multiscale mechanics
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    • v.6 no.1
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    • pp.31-50
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    • 2013
  • A five parameter viscoelastic model is developed to study harmonic waves propagating in the non-homogeneous viscoelastic filaments of varying density. The constitutive relation for five parameter model is first developed and then it is applied for harmonic waves in the specimen. In this study, it is assumed that density, rigidity and viscosity of the specimen i.e., rod are space dependent. The specimen is non-homogeneous, initially unstressed and at rest. The method of non-linear partial differential equation has been used for finding the dispersion equation of harmonic waves in the rods. A simple method is presented for reflections at the free end of the finite non-homogeneous viscoelastic rods. The harmonic wave propagation in viscoelastic rod is also presented numerically with MATLAB.

An Improved Dynamic Model for Multi-Stepped Rotor System (다단 회전체 계의 동적 모델 개선에 관한 연구)

  • Hong Seong-Wook;Choi Seong-Hwan
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.2
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    • pp.107-113
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    • 2006
  • This paper presents an efficient dynamic modeling method for multi-stepped rotor system using effective spring elements to take into account the structural weakening effect due to the steps. This paper demonstrates that the Timoshenko shaft model give rise to a significant error in the case of multi-stepped rotors. An effective bending spring model is introduced to represent the structural weakening effect in the presence of steps. The proposed modeling method is validated through a series of simulations and experiments. Finally, a spindle is dealt with as an analysis example.

Deterioration in strength of studs based on two-parameter fatigue failure criterion

  • Wang, Bing;Huang, Qiao;Liu, Xiaoling
    • Steel and Composite Structures
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    • v.23 no.2
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    • pp.239-250
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    • 2017
  • In the concept of two-parameter fatigue failure criterion, the material fatigue failure is determined by the damage degree and the current stress level. Based on this viewpoint, a residual strength degradation model for stud shear connectors under fatigue loads is proposed in this study. First, existing residual strength degradation models and test data are summarized. Next, three series of 11 push-out specimen tests according to the standard push-out test method in Eurocode-4 are performed: the static strength test, the fatigue endurance test and the residual strength test. By introducing the "two-parameter fatigue failure criterion," a residual strength calculation model after cyclic loading is derived, considering the nonlinear fatigue damage and the current stress condition. The parameters are achieved by fitting the data from this study and some literature data. Finally, through verification using several literature reports, the results show that the model can better describe the strength degradation law of stud connectors.

A Study On Causal Relationship between Exchange Rate and Economic Growth in Korea (한국의 환율과 경제성장과의 인과관계)

  • Choi, Bong-Ho
    • International Commerce and Information Review
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    • v.10 no.1
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    • pp.329-347
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    • 2008
  • The purpose of this study is to examine the causal relationship between the exchange rate and economic growth, and to induce policy implications. In order to test whether time series data is stationary and the model is fitness or not, we put in operation unit root test, cointegration test. And we apply Granger causality based on an error correction model. The results indicate that uni-dierctional causality between exchange rate and economic growth is detected. Exchange rate impacts on economic growth, but economic growth don't impact on exchange rate. The analysis of impulse reaction function shows that the impulse of exchange rate impacts on Korean economic growth in negative direction. We can infer policy suggestion as follows: The fluctuation of exchange rate much affects economic growth, thus we must make a stable policy of exchange rate to continue economic growth.

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Intrusion Detection Scheme Using Traffic Prediction for Wireless Industrial Networks

  • Wei, Min;Kim, Kee-Cheon
    • Journal of Communications and Networks
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    • v.14 no.3
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    • pp.310-318
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    • 2012
  • Detecting intrusion attacks accurately and rapidly in wireless networks is one of the most challenging security problems. Intrusion attacks of various types can be detected by the change in traffic flow that they induce. Wireless industrial networks based on the wireless networks for industrial automation-process automation (WIA-PA) standard use a superframe to schedule network communications. We propose an intrusion detection system for WIA-PA networks. After modeling and analyzing traffic flow data by time-sequence techniques, we propose a data traffic prediction model based on autoregressive moving average (ARMA) using the time series data. The model can quickly and precisely predict network traffic. We initialized the model with data traffic measurements taken by a 16-channel analyzer. Test results show that our scheme can effectively detect intrusion attacks, improve the overall network performance, and prolong the network lifetime.

Boost Converter Modeling of Photovoltaic System Using PWM Switch Model (PWM 스윗치 모델을 이용한 PV용 Boost Converter Modelling)

  • Kim, H.J.;Lee, K.O.;Choi, J.Y.;Jung, Y.S.;Yu, G.J.;Kwon, J.D.
    • Proceedings of the KIEE Conference
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    • 2002.11d
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    • pp.286-293
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    • 2002
  • Photovoltaic systems normally use a maximum power point tracking (MPPT) technique to continuously deliver the highest possible power to the load when variations in the insolation and temperature occur. A simple method of tracking the maximum power points (MPPs) and forcing the boost converter system to operate close to these Points is presented through deriving small-signal model and transfer function of boost converter. This paper aims at modeling boost converter including equivalent series resistance of input reservoir capacitor by state-space-averaging method and PWM switch model. In the future, properly designed controller for compensation will be constructed in real system for maximum photovoltaic power tracking control.

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Modeling and Controlling of Surface Defect Initiation and Growth in Groove Rolling (공형 압연에서의 표면흠 성장 모델링 및 제어 방법 연구)

  • Na, D.H.;Lee, Y.
    • Transactions of Materials Processing
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    • v.17 no.8
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    • pp.607-612
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    • 2008
  • The groove rolling is a process that transforms the bloom or billet into a shape with circular section through a series of rolling. Inhibition of surface defect generation in groove rolling is a matter of great importance and therefore many research groups proposed a lot of models to find the location of surface defect initiation. In this study, we propose a model for maximum shear stress ratio over equivalent strain to catch the location of surface defect onset. This model is coupled with element removing method and applied to box groove rolling of POSCO No.3 Rod Mill. Results show that proposed model in this study can find the location of surface defect initiation during groove rolling when finite element analysis results is compared with experiments. The proposed criterion has been applied successfully to design roll grooves which inhibit the generation of surface defect.

Well-being Lifestyle Measurement Development (웰빙 라이프스타일 측정도구 개발과 타당도 검증)

  • Hong, Hee-Sook;Koh, Ae-Ran
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.1
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    • pp.55-67
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    • 2009
  • The purpose of this study is to develop well-being lifestyle measurement. Data were collected from a total of 251 Korean females ranging from 20 to 50 years old. The measurement items were developed by focus group interview to well-being consumers. Through a series of exploratory factor analysis and confirmatory factor analysis, the 7 sub-factors and 14 items that construct final measurement model of well-being lifestyle were identified: Health oriented eating habits, social welfare oriented consumption, interest in health policy, self-esteem enhancement, sports activity, volunteer for local community, use of cosmetics made of natural components. Fitness of measurement model and reliability and discriminant validity of measurement variables were accepted as a good level.

Knowledge Management Systems Simulation Model for Measuring Knowledge Growth Potentials (지식성장 잠재력 측정을 위한 동태적 지식경영시스템 시뮬레이션 모델 개발에 관한 연구)

  • Kim, Sang-Wook;Jo, Hyun-Woong
    • Korean System Dynamics Review
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    • v.11 no.1
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    • pp.103-131
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    • 2010
  • This paper aims to investigate a dynamic mechanism underlying the process of knowledge creation and growth with a focus on the 'knowledge-friendly culture' conceptually coined by Davenport and Prusak in 2000. To achieve this objective, key attributes of knowledge are first identified by exploring the generic characteristics and information and interpreting the definitions of knowledge, from which four modes of knowledge growth (Socialization, Externalization, Combination, Internalization) are delineated into a dynamic SECI model by identifying cultural attributes underlying each mode and modeling their casual relationships based on the systems thinking. Further, a series of sensitivity analysis through computer simulation were made to find how 'knowledge-friendly' cultural factors affect the knowledge growth. It is found that individual knowledge is most influenced by organization's cohesion whereas organizational knowledge is most affected by the openness of organization.

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