Simulation approaches for multi-state network reliability estimation: Practical applications

2021 ◽  
pp. 102457
Author(s):  
Ping-Chen Chang
Keyword(s):  
Network Reliability ◽  
Reliability Estimation ◽  
Practical Applications

Static Network Reliability Estimation under the Marshall-Olkin Copula

2016 ◽  
Vol 26 (2) ◽  
pp. 1-28 ◽  
Author(s):  
Zdravko I. Botev ◽  
Pierre L'Ecuyer ◽  
Richard Simard ◽  
Bruno Tuffin
Keyword(s):  
Network Reliability ◽  
Reliability Estimation

scholarly journals Static Network Reliability Estimation via Generalized Splitting

2013 ◽  
Vol 25 (1) ◽  
pp. 56-71 ◽  
Author(s):  
Zdravko I. Botev ◽  
Pierre L'Ecuyer ◽  
Gerardo Rubino ◽  
Richard Simard ◽  
Bruno Tuffin
Keyword(s):  
Network Reliability ◽  
Reliability Estimation

A Practical GIS-Based Reliability Estimation System for Large Scale Distribution Network

2012 ◽  
Vol 433-440 ◽  
pp. 1802-1810 ◽  
Author(s):  
Lin Guan ◽  
Hao Hao Wang ◽  
Sheng Min Qiu
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Network Reliability ◽  
Distribution Network ◽  
Reliability Assessment ◽  
Distribution Networks ◽  
Reliability Estimation ◽  
Assessment Model ◽  
Estimation System ◽  
The Impact

A new algorithm as well as the software design for large-scale distribution network reliability assessment is proposed in this paper. The algorithm, based on fault traversal algorithm, obtains network information from the GIS. The structure of distribution network data storage formats is described, facilitating automatic output of the feeders’ topological and corresponding information from the GIS. Also the judgment of load transfer is discussed and the method for reliability assessment introduced in this paper. Moreover, The impact of the scheduled outage is taken into account in the assessment model, making the results more in accordance with the actual situation. Test Cases show that the proposed method features good accuracy and effectiveness when applied to the reliability assessment of large-scale distribution networks.

A splitting algorithm for network reliability estimation

2013 ◽  
Vol 45 (2) ◽  
pp. 177-189 ◽  
Author(s):  
Leslie Murray ◽  
Héctor Cancela ◽  
Gerardo Rubino
Keyword(s):  
Network Reliability ◽  
Reliability Estimation ◽  
Splitting Algorithm

scholarly journals The Cross-Entropy Method for Network Reliability Estimation

2005 ◽  
Vol 134 (1) ◽  
pp. 101-118 ◽  
Author(s):  
K.-P. Hui ◽  
N. Bean ◽  
M. Kraetzl ◽  
Dirk P. Kroese
Keyword(s):  
Network Reliability ◽  
Entropy Method ◽  
Reliability Estimation ◽  
Cross Entropy ◽  
Cross Entropy Method ◽  
The Cross

Real-Time Estimation of System Reliability Integrating Sensor-Driven Prognostic Model with Modular Approach

2014 ◽  
Vol 494-495 ◽  
pp. 989-992
Author(s):  
Yong Jian Tao
Keyword(s):  
Real Time ◽  
System Reliability ◽  
Prognostic Model ◽  
Time Estimation ◽  
Reliability Estimation ◽  
Sensor Data ◽  
Prognostic Models ◽  
Modular Approach ◽  
Railway Transportation ◽  
Practical Applications

Real-time reliability estimation is very significant for system operation safety, particularly in railway transportation system. This paper proposes a method, integrating sensor-driven prognostic model with modular approach, to accurate estimate system real-time reliability. Modular approach is utilized to divide system fault tree into independent subtrees (modulars), and solves system reliability using Binary Decision Diagrams and Bayesian Networks according to their characteristics. Sensor-driven prognostic models use in situ sensor data from system components to compute their failure density functions or reliability functions, and continuously update system reliability. The method for system reliability assessment presented in this paper, integrating sensor-driven prognostic model with modular approach can overcome static characteristics of reliability analysis, and better correspond to practical applications.

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