• Title/Summary/Keyword: Johnson 시스템

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Turbine Case Containment Capability Evaluation Using Finite Element Analysis (유한요소해석을 이용한 터빈 케이스의 컨테인먼트 성능 평가)

  • Jun-woo Baek;Sang-woo Kim;Soo-yong Lee
    • Journal of Aerospace System Engineering
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    • v.17 no.5
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    • pp.19-27
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    • 2023
  • In this study, we used finite element analysis to conduct a containment capability evaluation of a turbine case. When analyzing the impact behavior of structures subjected to impact loads, it is important to consider the strain rate, as it affects the increase in flow stress. Therefore, we applied three material models (Cowper-Symonds, Johnson-Cook, and Modified Johnson-Cook) for the impact analysis. To validate these material models, we performed an impact test on an aluminum 6061 plate. By comparing and analyzing the experimental and analytical results, we determined that the Modified Johnson-Cook material model exhibited the least error. As a result, we applied this material model to evaluate the containment capability of the turbine case. This evaluation involved determining the occurrence of penetration, as well as the stress and strain induced at the collision area due to the initial velocity of the blade.

Evaluation of Non - Normal Process Capability by Johnson System (존슨 시스템에 의한 비정규 공정능력의 평가)

  • 김진수;김홍준
    • Journal of the Korea Safety Management & Science
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    • v.3 no.3
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    • pp.175-190
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    • 2001
  • We propose, a new process capability index $C_{psk}$(WV) applying the weighted variance control charting method for non-normally distributed. The main idea of the weighted variance method(WVM) is to divide a skewed or asymmetric distribution into two normal distributions from its mean to create two new distributions which have the same mean but different standard deviations. In this paper we propose an example, a distributions generated from the Johnson family of distributions, to demonstrate how the weighted variance-based process capability indices perform in comparison with another two non-normal methods, namely the Clements and the Wright methods. This example shows that the weighted valiance-based indices are more consistent than the other two methods in terms of sensitivity to departure to the process mean/median from the target value for non-normal processes. Second method show using the percentage nonconforming by the Pearson, Johnson and Burr systems. This example shows a little difference between the Pearson system and Burr system, but Johnson system underestimated than the two systems for process capability.

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Evaluation of Procss Capability for Exponential Distribution (지수분포의 공정능력 평가)

  • Hong-Jun Kim;Jin-Soo Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.25 no.6
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    • pp.48-53
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    • 2002
  • 품질보증 부분에서 대부분 통계적 수법들은 기지분포를 가정하여 데이터를 분석하고 있다. 예를 들면 공정능력에서는 정규분포를 가정하고 있고, 신뢰성 분석에서는 지수분포, 대수정규분포 또는 와이블분포 등을 가정하고 있다. 만약 이러한 것들이 가정하는 확률분포와 크게 편의될 때 도출된 결론은 그 유효성을 상실하게 된다. 따라서 공정이 정규분포를 하지 않는다면 정규분포에 기초한 공정능력지수의 사용은 부정확한 공정의 정보를 제시하게 된다. 이러한 문제를 해결하기 위하여 그 사례로 소표본일 경우 정규성의 유무를 Lilliefors 검정통계량으로 검정하였다. 그리고 최우추정량(MLE), 수정적률추정량(MME), 및 적률추정량(ME)을 사용하여 모수추정을 하여 그 각각의 경우에 공정능력지수로 평가하였다. 공정능력지수의 평가는 공정이 지수분포를 하는 경우에 적합한 공정능력지수($C_{pe}$)를 제안하고, 이것의 대안으로써 Pearson 시스템, Johnson 시스템 및 Burr 시스템과도 비교평가 하였다.

Qusai-Watkins-Johnson Inverter (의사-왓킨슨-존슨 인버터)

  • Kim, Jeonghun;Kim, Kisu;Cha, Honnyong;Kim, Heung-Geun
    • Proceedings of the KIPE Conference
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    • 2018.07a
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    • pp.33-35
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    • 2018
  • 본 논문에서는 Quasi-Watkins-Johnson(qWJ) 인버터를 제안한다. 단상 qWJ 인버터는 기존의 Watkins-Johnson(WJ) 인버터에서 간단한 회로 수정을 통해 제안되며, 기존의 WJ 인버터의 모든 장점을 유지한다. 제안한 인버터는 모든 능동 스위치가 비절연형 게이트 구동을 하므로 게이트 구동회로의 부담을 덜어주고 기존 방식에 비해 적은 비용과 작은 크기로 구현할 수 있다. 또한, 제안한 인버터는 기존의 하프-브릿지 인버터의 출력전압보다 더 큰 출력전압을 가진다. 3상 qWJ 인버터는 출력전압이 입력전압의 2배까지 승압이 가능하다. 계통연계형 태양광 시스템에 적용 시, 기존의 3상 전압형 인버터는 누설전류로 인해 안정성에 문제가 생길 수 있지만, 제안한 인버터는 누설전류에 의한 문제가 생기지 않는다. 그러므로 제안한 인버터는 누설전류를 줄이기 위한 추가적인 회로가 필요하지 않고 적은 비용과 작은 사이즈로 계통연계형 태양광 인버터 시스템을 구현할 수 있다. 이러한 장점들은 3상 qWJ 인버터에서 더욱 현저하게 드러난다. 1kW의 시제품을 제작하여 제안한 인버터의 성능을 검증하였다.

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A Comprehensive Measure of Evaluation for Non-Normal Process Capability with Beta Distributions (베타분포를 하는 비정규 공정능력평가의 종합적 측도)

  • 김홍준;김진수;전창희
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.52
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    • pp.69-79
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    • 1999
  • The main objective of this study are to propose two methods that would be a comprehensive measure of evaluation for non-normal process capability with Beta distributions. First method is introduced using process capability index $C_{psk}$ by the Pearson system and Johnson system. The Pearson system and the Johnson System selected for process capability index calculation have a equivalent result of this study that the ranking of the seven indices in terms of sensitivity to departure of the process median from the target value from the most sensitive one up to the least sensitive are $C^{*}_{pm}$ , $C_{psk}$ , $C_{s}$ , $C_{pmk}$ , $C_{pm}$ , $C_{pk}$ , $C_{p}$ . Second method show using the percentage nonconforming by the Pearson, Johnson and Burr functions. In thus study, we find that the Pearson system and the Burr system are a reasonable method to estimate percentage nonconforming. But, the exact procedure for deriving this estimate will be based on Beta distribution. Accordingly, if a process is not normally distributed , but normal-based techniques are used serious errors can result.

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A Study on Generation of Stochastic Rainfall Variation using Multivariate Monte Carlo method (다변량 Monte Carlo 기법을 이용한 추계학적 강우 변동 생성기법에 관한 연구)

  • Ahn, Ki-Hong;Han, Kun-Yeun
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.3
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    • pp.127-133
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    • 2009
  • In this study, dimensionless-cumulative rainfall curves were generated by multivariate Monte Carlo method. For generation of rainfall curve rainfall storms were divided and made into dimensionless type since it was required to remove the spatial and temporal variances as well as differences in rainfall data. The dimensionless rainfall curves were divided into 4 types, and log-ratio method was introduced to overcome the limitations that elements of dimensionless-cumulative rainfall curve should always be more than zero and the sum total should be one. Orthogonal transformation by Johnson system and the constrained non-normal multivariate Monte Carlo simulation were introduced to analyse the rainfall characteristics. The generative technique in stochastic rainfall variation using multivariate Monte Carlo method will contribute to the design and evaluation of hydrosystems and can use the establishment of the flood disaster prevention system.

Robust $\textrm{H}_\infty$ Control Design for the Space Station with Structured Parameter Uncertainty

  • Byun, Kuk-Whan;Bong-Wie;Dabid-Gaiier;John-Sunkel
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.431-441
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    • 1991
  • A robust H$_{\infty}$ control design methodology and its application to a Space Station attitude and momentum control problem are presented. This new approach incorporates nonlinear multi-parameter variations in the state-space formulation of H$_{\infty}$ control theory. An application of this robust H$_{\infty}$ control synthesis technique to the Space Station control problem yields a remarkable result in stability robustness with respect to the moments-of-inertia variation of about 73% in one of the structured uncertainty directions. The performance and stability of this new robust H$_{\infty}$ controller for the Space Station are compared to those of other controllers designed using a standard linear-quadratic-regulator synthesis technique.que.

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Stabilzed Control of an Inverted Pendulum Cart System Using the Optimal Regulator (최적 Regulator를 이용한 도립진자 시스템의 안정화 제어)

  • 박영식;최부귀
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.4
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    • pp.315-323
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    • 1990
  • A design technique of dynamic stabilization controller for the intrinsic unstable inverted pendulum system is introduced. Mathematical modelling with the more complex nonlinearity and the stabilized control theory presented by C.D.Johnson are adapted to this system by using the state-space approach. And the Stabilized controller with the designed optimal regulator type which can be fastly tracked and can be accurately counteracted aginst all effects of the constant distrubances and the parameteric variations is simulated and is implemeted successfully on the microcomputer.

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Two-dimensional Inundation Analysis Using Stochastic Rainfall Variation and Geographic Information System (추계학적 강우변동생성 기법과 GIS를 연계한 2차원 침수해석)

  • Lee, Jin-Young;Cho, Wan-Hee;Han, Kun-Yeun;Ahn, Ki-Hong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.1
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    • pp.101-113
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    • 2010
  • Recently actual rainfall pattern is decreasing rainy days and increasing in rainfall intensity and the frequency of flood occurrence is also increased. To consider recent situation, Engineers use deterministic methods like a PMP(Probable Maximum Precipitation). If design storm wouldn't occur, increasing of design criteria is extravagant. In addition, the biggest structure cause trouble with residents and environmental problem. And then it is necessary to study considering probability of rainfall parameter in each sub-basin for design of water structure. In this study, stochastic rainfall patterns are generated by using log-ratio method, Johnson system and multivariate Monte Carlo simulation. Using the stochastic rainfall patterns, hydrological analysis, hydraulic analysis and 2nd flooding analysis were performed based on GIS for their applicability. The results of simulations are similar to the actual damage area so the methodology of this study should be used about making a flood risk map or regidental shunting rout map against the region.

Near optimal production scheduling for multi-unit batch process

  • Kim, Kyeong-Sook;Cho, Young-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10b
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    • pp.1718-1723
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    • 1991
  • The determination of a production sequence is an important problem in a batch process operation. In this paper a new algorithm for a near optimal production sequence of N product in an M unit serial multiproduct batch process is proposed. The basic principle is the same as that of Johnson's algorithm for two-unit UIS system. Test results on a number of selected examples exhibit the superiority over previously reported results. In addition, a tabulation technique is presented to calculate the makespan of a given sequence of production for all processing units under UIS mode.

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