检索结果-南通市图书馆

Reliability Evaluation and Sensitivity Analysis for multi-state system Based on Time Degradation Measures

在线全文

学校读者我要写书评

暂无评论

Journal of Donghua University(English Edition) 2016年第2期33卷 171-176页

作者：古莹奎陈佳张全新 School of Mechanical and Electronical Engineering Jiangxi University of Science and Technology

The performance and state of multi-state system depend on its structure and different state combinations of the components. In order to evaluate the reliability of multi-state system effectively,a reliability evaluation and sensitivity analysis method based on the time degradation measures was proposed. The equivalence sets of the multi-state system under different output performances were established. The state combinations were classified according to the performance level. The degradation probability models under different states were established,and the new reliability measures,such as dynamic probability of multi-state system,holding time in each state,dynamic expectation function and integrated expectation function of the performance,were proposed and used to implement the dynamic reliability evaluation and sensitivity analysis. A certain diesel engine fuel feeding system was taken as an application example to illustrate the proposed method. The results show that not only the holding time in the desired state of the components and the system can be predicted,but also the best state component in a certain time period can be obtained.

关键词： multi-state system dynamic reliability evaluation performance degradation sensitivity analysis

Reliability Analysis of Electromechanical systems with Degraded Components Containing multiple Performance Parameters

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2010年第4期23卷 511-516页

作者： LI Chunyang CHEN Xun YI Xiaoshan College of Mechatronics and Automation National University of Defense Technology Changsha 410073 China

Components of electromechanical systems usually contain multiple performance parameters and degrade over time. In previous studies, the reliability of these electromechanical systems was analyzed by the traditional method, and the system reliability was estimated based on the reliability of components and the structures of the systems. The system reliability estimated by the traditional method could not reflect the performance of the systems. A new method is proposed in this paper to analyze the system reliability according to the data of multiple performance degraded processes of components. The performance distribution of a degraded component is obtained by the performance degradation analysis, and then states of the component are defined and corresponding state probabilities are estimated. The universal generating function method is proposed and extended to compute the performance distribution and reliability of the system based on the performances of components. A numerical example illustrates the proposed method. The results of the example show that the proposed method can relate the performance of the system to the performances of components and absolutely reflect the relationship between reliability and performance. Compared with the exact values of the system reliability, the results obtained by the proposed method is almost the same with the exact values, and the results obtained by the traditional method are conservative. The proposed method overcomes the shortcomings of the traditional method and provides a new approach to analyze the reliability of electromechanical systems with degraded components containing multiple performance parameters.

关键词： electromechanical system degradation reliability analysis multi-state system universal generating function

Probabilistic production simulation of a power system with wind power penetration based on improved UGF techniques

在线全文

学校读者我要写书评

暂无评论

Journal of Modern Power systems and Clean Energy 2013年第2期1卷 186-194页

作者： Hongtao WANG Xu LIU Chunyi WANG Key Laboratory of Power system Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China state Grid Zhejiang Electric Power Company Jiaxing Power Supply CompanyJiaxing 314001China state Grid Shandong Electric Power Company Jinan 250001China

Universal Generating Function(UGF)techniques have been applied to multi-state system(MSS)reliability analysis,such as long term reserve expansion of power systems with high wind power penetration.However,using simple steady-state distribution models for wind power and large generating units in reliability assessment can yield pessimistic appraisals.To more accurately assess the power system reliability,UGF techniques are extended to dynamic probabilistic simulation analysis on two aspects of modelling improvement.Firstly,a principal component analysis(PCA)combined with a hierarchal clustering algorithm is used to achieve the salient and time-varying patterns of wind power,then a sequential UGF equivalent model of wind power output is established by an apportioning method.Secondly,other than the traditional two-state models,the conventional generator UGF equivalent model is established as a four discrete-state continuous-time Markov model by Lztransform.In the construction process of such a UGF model,the state values are transformed into the integral multiples of one common factor by choosing proper common factors,thus effectively restraining the exponential growth of its state number and alleviating the explosion thereof.The method is suitable for reliability assessment with dynamic probabilistic distributed random variables.In addition,by acquiring the clustering information of wind power,the system reliability indices,such as fuel cost and CO_(2) emissions through different seasons and on different workdays,are calculated.Finally,the effectiveness of the method is verified by a modified IEEE-RTS 79 system integrated with several wind farms of historical hourly wind power data of Zhangbei wind farm in North China.

关键词： multi-state system Reliability Universal Generating Function(UGF) Probabilistic production simulation Wind power

Reliability Improvement of Large multi-state Series-parallel systems

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2006年第2期3卷 157-164页

作者： Bozena Kwiatuszewska-Sarnecka Department of Mathematics

In the paper, excess methods for improving the reliability of multi-state series-parallel systems are presented： for the hot reserve of single components, the cold reserve of single components, and the mixed （hot and cold） reserve of single components. A process is also introduced to improve the reliability of these methods by replacing their components with more reliable ones. New theorems for multi-state limit reliability functions in homogeneous and non-homogeneous series-parallel large systems composed of components with improved reliability are presented, and applied to compare the effects of these systems in different reliability improving methods.

关键词： Reliability improvement multi-state system large system limit reliability function.

An Accelerated Simulation Assessment Approach for Mission Success Probability of multi-state Phased Mission systems

在线全文

学校读者我要写书评

暂无评论

An Accelerated Simulation Assessment Approach for Mission Su...