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Reliability Analysis Using Discrete Event Simulation and Petri net Modeling
Behrooz Safarinejadian,Mohammad B. Menhaj,Ali Doustmohammadi 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Analytical methods in reliability analysis are useful for studying simple problems. For complex networks with cross-linked (non-series/parallel) component configurations, it is difficult to use mathematical reliability analysis. In this paper, we use Monte Carlo simulation based on a discrete event modeling approach for reliability analysis of such systems. Since computational load of the proposed method is not heavy, it can be also used for reliability analysis of large scale systems. This method is then modeled by Petri net, which is a powerful modeling tool. The network reliability modeling technique developed in the paper has two main advantages. First, it can be easily implemented through a systematic and standard approach. Second, the developed model will greatly help solving the reliability analysis problem due to its simplicity and graphical advantage.
Distributed Incremental EM Algorithm for Density Estimation in Peer-to-Peer Networks
Behrooz Safarinejadian,Mohammad B. Menhaj,Mehdi Karrari 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In this paper a distributed incremental EM algorithm (DIEM) is proposed for density estimation and clustering of data distributed over the nodes of a network. Environmental modeling using a sensor network or clustering a data set in a computer network are some of the applications of this algorithm. After a full derivation of the distributed EM algorithm, it will be shown that DIEM converges faster than the standard distributed EM (DEM) algorithm. In DIEM, the data set of each node is partitioned into disjoint blocks of data which incrementally partial E-steps are performed over. Simulation results show that DIEM remarkably outperforms DEM.
A Trade-Off between the Efficiency, Ripple and Volume of a DC-DC Converter
Mohsen Taherbaneh,Amir H. Rezaie,Hasan Ghafoorifard,Maddad Mirsamadi,Mohammad B. Menhaj 전력전자학회 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5
In space qualified DC-DC converters, optimization of the following electrical characteristics is of greater interest in comparison with other specifications; power loss/efficiency, output voltage ripple and volume/weight. The main goal of this paper is to present an appropriate solution for optimizing the above mentioned characteristics. For this purpose, a comprehensive power loss model of a DC-DC converter is fully developed. Proper models are also demonstrated for assessment of the output voltage ripple and the utilized transformer volume as the bulkiest component in a DC-DC converter. In order to provide a test bed for evaluation of the proposed models, a 50W push-pull DC-DC converter is designed and implemented. Finally, a novel cost function with three assigned weight functions is proposed in order to have a trade-off among the power loss, the output voltage ripple and the utilized transformer volume of the converter. The cost function is optimized for applications in which volume has the highest priority in comparison with power loss and ripple. The optimization results show that the transformer volume can be decreased by up to 51% and this result is verified by experimental results. The developed models and algorithms in this paper can be used for other DC-DC converter topologies with some minor modifications.