The Experts below are selected from a list of 249 Experts worldwide ranked by ideXlab platform
Hadi Jabbari - One of the best experts on this subject based on the ideXlab platform.
-
analysis of reliability systems via gini type index
European Journal of Operational Research, 2018Co-Authors: Motahareh Parsa, Antonio Di Crescenzo, Hadi JabbariAbstract:Abstract Different strategies of reliability theory for the analysis of coherent systems have been studied by various researchers. Here, the Gini-type index is utilized as an applicable tool for the study and comparison of the ageing properties of complex systems. A new stochastic order in terms of Gini-type index is introduced to compare the speed of ageing of Components and systems. The parallel-series and series-parallel systems with shared Components are studied by their corresponding Gini-type indexes. Also, the generalization of Gini-type index for the multidimensional case is discussed, and is used to compare Components Lifetimes properties in the presence of other dependent Components. It is shown that the ageing properties of a Component Lifetime can differ when the other Components are working or have already failed. Numerous illustrative examples are given for better intuition of Gini-type and generalized Gini-type indexes throughout the paper.
Motahareh Parsa - One of the best experts on this subject based on the ideXlab platform.
-
analysis of reliability systems via gini type index
European Journal of Operational Research, 2018Co-Authors: Motahareh Parsa, Antonio Di Crescenzo, Hadi JabbariAbstract:Abstract Different strategies of reliability theory for the analysis of coherent systems have been studied by various researchers. Here, the Gini-type index is utilized as an applicable tool for the study and comparison of the ageing properties of complex systems. A new stochastic order in terms of Gini-type index is introduced to compare the speed of ageing of Components and systems. The parallel-series and series-parallel systems with shared Components are studied by their corresponding Gini-type indexes. Also, the generalization of Gini-type index for the multidimensional case is discussed, and is used to compare Components Lifetimes properties in the presence of other dependent Components. It is shown that the ageing properties of a Component Lifetime can differ when the other Components are working or have already failed. Numerous illustrative examples are given for better intuition of Gini-type and generalized Gini-type indexes throughout the paper.
Hendrik Schäbe - One of the best experts on this subject based on the ideXlab platform.
-
Nonparametric Estimation of Component Lifetime Based on Masked System Life Test Data
Journal of the royal statistical society series b-methodological, 1994Co-Authors: Hendrik SchäbeAbstract:In this paper we study the model of masked data sets, i.e. data sets consisting of failure times of a system and sets of failed Components. Failing Components can yield further failures. The initially failed Component is unknown. Initial failures and later failures are indistinguishable. A nonparametric estimator of the Component Lifetime distribution is derived. We prove weak convergence of the estimator to a Gaussian process
Antonio Di Crescenzo - One of the best experts on this subject based on the ideXlab platform.
-
analysis of reliability systems via gini type index
European Journal of Operational Research, 2018Co-Authors: Motahareh Parsa, Antonio Di Crescenzo, Hadi JabbariAbstract:Abstract Different strategies of reliability theory for the analysis of coherent systems have been studied by various researchers. Here, the Gini-type index is utilized as an applicable tool for the study and comparison of the ageing properties of complex systems. A new stochastic order in terms of Gini-type index is introduced to compare the speed of ageing of Components and systems. The parallel-series and series-parallel systems with shared Components are studied by their corresponding Gini-type indexes. Also, the generalization of Gini-type index for the multidimensional case is discussed, and is used to compare Components Lifetimes properties in the presence of other dependent Components. It is shown that the ageing properties of a Component Lifetime can differ when the other Components are working or have already failed. Numerous illustrative examples are given for better intuition of Gini-type and generalized Gini-type indexes throughout the paper.
Huai Wang - One of the best experts on this subject based on the ideXlab platform.
-
mission profile based system level reliability analysis of dc dc converters for a backup power application
IEEE Transactions on Power Electronics, 2018Co-Authors: Dao Zhou, Huai WangAbstract:Reliability analysis is an important tool for assisting the design phase of a power electronic converter to fulfill its life-cycle specifications. Existing converter-level reliability analysis methods have two major limitations: 1) being based on constant failure rate models; and 2) lack of consideration of long-term operation conditions (i.e., mission profile). Although various studies have been presented on power electronic Component-level Lifetime prediction based on wear-out failure mechanisms and mission profile, it is still a challenge to apply the same method to the reliability analysis of converters with multiple Components. Component Lifetime prediction based on associated models provides only a $B_{X}$ Lifetime information (i.e., the time when X % items fail), but the time-dependent reliability curve is still not available. In this paper, a converter-level reliability analysis approach is proposed based on time-dependent failure rate models and long-term mission profiles. Two different methods to obtain the Component-level time-to-failure are illustrated by a case study of dc/dc converters for a 5 kW fuel cell-based backup power system. The reliability analysis of the converters with and without redundancy is also performed to assist the decision making in the design phase of the fuel cell power conditioning stage.