• 제목/요약/키워드: Hybrid distribution

검색결과 712건 처리시간 0.043초

Estimation of entropy of the inverse weibull distribution under generalized progressive hybrid censored data

  • Lee, Kyeongjun
    • Journal of the Korean Data and Information Science Society
    • /
    • 제28권3호
    • /
    • pp.659-668
    • /
    • 2017
  • The inverse Weibull distribution (IWD) can be readily applied to a wide range of situations including applications in medicines, reliability and ecology. It is generally known that the lifetimes of test items may not be recorded exactly. In this paper, therefore, we consider the maximum likelihood estimation (MLE) and Bayes estimation of the entropy of a IWD under generalized progressive hybrid censoring (GPHC) scheme. It is observed that the MLE of the entropy cannot be obtained in closed form, so we have to solve two non-linear equations simultaneously. Further, the Bayes estimators for the entropy of IWD based on squared error loss function (SELF), precautionary loss function (PLF), and linex loss function (LLF) are derived. Since the Bayes estimators cannot be obtained in closed form, we derive the Bayes estimates by revoking the Tierney and Kadane approximate method. We carried out Monte Carlo simulations to compare the classical and Bayes estimators. In addition, two real data sets based on GPHC scheme have been also analysed for illustrative purposes.

에너지 효율 향상을 위한 직류/교류 하이브리드 급전시스템의 해석 (DC/AC Hybrid Distribution System Analysis for Improving Energy Efficiency)

  • 이영진;한동화;최중묵;반충환;김동진;최규하
    • 전력전자학회:학술대회논문집
    • /
    • 전력전자학회 2010년도 하계학술대회 논문집
    • /
    • pp.244-245
    • /
    • 2010
  • Hybrid distribution system is able to use existing AC load under AC power and DC power by providing existing AC power and proper DC voltage at the same time. and, the future expected DC appliance is also available. Hybrid distribution system is divided into two different type. the one is DC common method and the other is AC common method. This paper design each system, and study operating characteristics for improving energy efficiency.

  • PDF

Estimation on the Generalized Half Logistic Distribution under Type-II Hybrid Censoring

  • Seo, Jung-In;Kim, Yongku;Kang, Suk-Bok
    • Communications for Statistical Applications and Methods
    • /
    • 제20권1호
    • /
    • pp.63-75
    • /
    • 2013
  • In this paper, we derive maximum likelihood estimators (MLEs) and approximate maximum likelihood estimators (AMLEs) of unknown parameters in a generalized half logistic distribution under Type-II hybrid censoring. We also obtain approximate confidence intervals using asymptotic variance and covariance matrices based on the MLEs and the AMLEs. As an illustration, we examine the validity of the proposed estimation using real data. Finally, we compare the proposed estimators in the sense of the mean squared error (MSE), bias, and length of the approximate confidence interval through a Monte Carlo simulation for various censoring schemes.

Bayesian and maximum likelihood estimation of entropy of the inverse Weibull distribution under generalized type I progressive hybrid censoring

  • Lee, Kyeongjun
    • Communications for Statistical Applications and Methods
    • /
    • 제27권4호
    • /
    • pp.469-486
    • /
    • 2020
  • Entropy is an important term in statistical mechanics that was originally defined in the second law of thermodynamics. In this paper, we consider the maximum likelihood estimation (MLE), maximum product spacings estimation (MPSE) and Bayesian estimation of the entropy of an inverse Weibull distribution (InW) under a generalized type I progressive hybrid censoring scheme (GePH). The MLE and MPSE of the entropy cannot be obtained in closed form; therefore, we propose using the Newton-Raphson algorithm to solve it. Further, the Bayesian estimators for the entropy of InW based on squared error loss function (SqL), precautionary loss function (PrL), general entropy loss function (GeL) and linex loss function (LiL) are derived. In addition, we derive the Lindley's approximate method (LiA) of the Bayesian estimates. Monte Carlo simulations are conducted to compare the results among MLE, MPSE, and Bayesian estimators. A real data set based on the GePH is also analyzed for illustrative purposes.

An Over Current Protection Scheme for Hybrid Active Power filter

  • Lee Woo-Cheol;Chae Beom-Seok;Hyun Dong-Seok;Lee Taeck-Kie
    • 전력전자학회:학술대회논문집
    • /
    • 전력전자학회 2001년도 Proceedings ICPE 01 2001 International Conference on Power Electronics
    • /
    • pp.571-575
    • /
    • 2001
  • A protection scheme for hybrid active power filters, which is combined shunt passive filter and small rated series active filter, is presented and analyzed in this paper. The proposed series active power filter operated as a high impedance 'k($\Omega$)' to the fundamental component when over current occurs in the power distribution system, and three control strategies are proposed in this paper. The first is the method by detecting the fundamental source current through the p-q theory, the second is the method by detecting the fundamental component of load current in Synchronous Reference Frame (SRF) and the third is the method by detecting the input voltage. When the over current occurs in the power distribution system, the proposed scheme protects the series active power filter without additional protection circuits. The validity of proposed protection scheme is investigated through experimental result for the prototype hybrid active power filter system.

  • PDF

A Comparison study of Hybrid Monte Carlo Algorithm

  • 황진수;전성해;이찬범
    • 한국통계학회:학술대회논문집
    • /
    • 한국통계학회 2000년도 추계학술발표회 논문집
    • /
    • pp.135-140
    • /
    • 2000
  • 베이지안 신경망 모형(Bayesian Neural Networks Models)에서 주어진 입력값(input)은 블랙 박스(Black-Box)와 같은 신경망 구조의 각 층(layer)을 거쳐서 출력값(output)으로 계산된다. 새로운 입력 데이터에 대한 예측값은 사후분포(posterior distribution)의 기대값(mean)에 의해 계산된다. 주어진 사전분포(prior distribution)와 학습데이터에 의한 가능도함수(likelihood functions)를 통해 계산되어진 사후분포는 매우 복잡한 구조를 갖게 됨으로서 기대값의 적분계산에 대한 어려움이 발생한다. 이때 확률적 추정에 의한 근사 방법인 몬테칼로 적분을 이용한다. 이러한 방법으로서 Hybrid Monte Carlo 알고리즘은 우수한 결과를 제공하여준다(Neal 1996). 본 논문에서는 Hybrid Monte Carlo 알고리즘과 기존에 많이 사용되고 있는 Gibbs sampling, Metropolis algorithm, 그리고 Slice Sampling등의 몬테칼로 방법들을 비교한다.

  • PDF

OPTIMAL TORQUE MANAGEMENT STRATEGY FOR A PARALLEL HYDRAULIC HYBRID VEHICLE

  • Sun, H.;Jiang, J.H.;Wang, X.
    • International Journal of Automotive Technology
    • /
    • 제8권6호
    • /
    • pp.791-798
    • /
    • 2007
  • The hydraulic hybrid vehicle(HHV) is an application of hydrostatic transmission technology to improve vehicle fuel economy and emissions. A relatively lower energy density of hydraulic accumulator and complicated coordinating operations between two power sources require a special energy management strategy to maximize the fuel saving potential. This paper presents a new type of configuration for parallel HHV to minimize the disadvantages of the hydraulic accumulator, as well as a methodology for developing an energy management strategy tailored specially for PHHV. Based on an analysis of the optimal energy distribution between two power sources over a representative urban driving cycle with a Dynamic Programming(DP) algorithm, a fuzzy-based optimal torque management strategy is designed and developed to control the torque distribution. Simulation results demonstrates that the optimal torque management strategy maximizes the advantages of this hybrid type of configuration, and the high power density characteristics of hydraulic technology effectively improve the robustness of the energy management strategy and fuel economy of the PHHV.

Optimum distribution of steel slit-friction hybrid dampers based on life cycle cost

  • Eldin, Mohamed Nour;Kim, Jaegoo;Kim, Jinkoo
    • Steel and Composite Structures
    • /
    • 제27권5호
    • /
    • pp.633-646
    • /
    • 2018
  • This study investigated the seismic performance of a hybrid damper composed of a steel slit plate and friction pads, and an optimum retrofit scheme was developed based on life cycle cost. A sample hybrid damper was tested under cyclic loading to confirm its validity as a damping device and to construct its nonlinear analysis model. The effectiveness of the optimum damper distribution schemes was investigated by comparing the seismic fragility and the life cycle costs of the model structure before and after the retrofit. The test results showed that the damper behaved stably throughout the loading history. Numerical analysis results showed that the slit-friction hybrid dampers optimally distributed based on life cycle cost proved to be effective in minimizing the failure probability and the repair cost after earthquakes.

조선용 강재 A-Grade의 Fillet 용접에 대한 FCAW 및 하이브리드 용접부의 열적 특성 비교 (The Comparison of Thermal Characteristics in FCAW & Hybrid Welded Joint for Fillet Welding of Ship Structure A-Grade Steel)

  • 오종인;박호경;;정은영;방한서
    • 대한용접접합학회:학술대회논문집
    • /
    • 대한용접접합학회 2006년 추계학술발표대회 개요집
    • /
    • pp.48-50
    • /
    • 2006
  • Recently many research are going on in the field of application of Laser-Arc hybrid welding for superstructures such as ship-structures, transport vehicles etc. however, the study on heat distribution and welding residual stress of hybrid weld by numerical simulation leaves much to be desired. Therefore a Finite Element based numerical comparison of heat distribution and thermal history in both the FCAW and Hybrid welding been made in this study. Based on this thermal outputs from the present model could be sequentially coupled to suitable mechanical models to predict appropriate mechanical characteristics such as residual stress.

  • PDF

ESGA를 이용한 불평형 배전계통의 커패시터 설치에 관한 연구 (A Study on Capacitor Placement Using ESGA Hybrid Approach in Unbalanced Distribution Systems)

  • 김규호;이유정;이상봉;유석구
    • 대한전기학회논문지:전력기술부문A
    • /
    • 제52권6호
    • /
    • pp.316-324
    • /
    • 2003
  • This paper applied Elite-based Simplex-GA hybrid approach combined with Muptipop-GA (ESGA) to determining the location, size and number of capacitors to improve voltage profile and minimize power losses in unbalanced distribution systems. One of the main obstacles in applying GA to complex problems has been the high computational cost due to their slow convergence rate. To alleviate this difficulty, ESGA approach was developed that combines Elite-based Simplex-GA hybrid approach with Muptipop-GA. The objective function formulated consists of two terms: cost for energy losses and cost related to capacitor purchase and capacitor installation. The cost function associated with capacitor placement is considered as a step function due to banks of standard discrete capacities. Its efficiency was proved through the application in IEEE 13 bus and 34 bus test systems and was compared with several methods using GA.