Failure Probability Analysis of Sensitive Equipment Due to Voltage Sags Using Fuzzy-Random Assessment Method

2010 ◽  
Vol 25 (4) ◽  
pp. 2970-2975 ◽  
Author(s):  
Xian-Yong Xiao ◽  
Chao Ma ◽  
Hong-Geng Yang ◽  
Wu Chen ◽  
Hua-Qiang Li
2019 ◽  
Vol 57 ◽  
pp. 25-33 ◽  
Author(s):  
Aihua Liu ◽  
Ke Chen ◽  
Xiaofei Huang ◽  
Jieyun Chen ◽  
Jianfeng Zhou ◽  
...  

1992 ◽  
Author(s):  
J.F. Flory ◽  
J.W.S. Hearle ◽  
Richard Stonor ◽  
Yong Luo

2017 ◽  
Vol 22 (7) ◽  
pp. 2370-2383 ◽  
Author(s):  
Alireza Ghavidel ◽  
S. Roohollah Mousavi ◽  
Mohsen Rashki

2012 ◽  
Vol 588-589 ◽  
pp. 458-462
Author(s):  
Zhi Jian Yuan ◽  
Yan Li

The impact of voltage sags on equipment is usually described by equipment failure probability.It is generally difficult to assess and predict the probability because of the uncertainty of both the nature of voltage sags and the VTL (VTL) of equipment. By defining the equipment failure event caused by voltage sags as a fuzzy-random event, a fuzzy-random assessment model incorporating those uncertainty is developed. The model is able to convert the probability problem of a fuzzy-random variable to that of a common random variable by using λ-cut set. It is thus valuable in theoretical analysis and engineering application. The validity of the developed model is verified by Monte Carlo stochastic simulation using personal computers (PCs)as test equipment.


1988 ◽  
Vol 16 (2) ◽  
pp. 153 ◽  
Author(s):  
A Wolfenden ◽  
J Margetson ◽  
NR Cooper

2012 ◽  
Vol 204-208 ◽  
pp. 2282-2290
Author(s):  
Xiao Yan Liu ◽  
Xu Lei ◽  
Sheng Cai Xiao ◽  
Guang Hui Wang

As a bridge assessment method, risk assessment is more and more applied to load-carrying capacity assessment of existing bridge. This method assesses the bridge through the failure risk value which calculated by the failure probability and failure loss value. The most important factor to the risk assessment of load-carrying capacity upon the existing and diseased bridge is the calculation of failure probability. This paper combines the reliability calculation theory with a certain site detective data of bridge that considering uncertainty of load and resistance along with the diseases of bridge, and induces in the correction coefficient of load and resistance respectively to calculate the failure probability and reliability index of bridge. Finally, these indexes are compared with those provided by the current code to implement risk assessment of load-carrying capacity of the bridge.


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