Bootstrap-based techniques for computing confidence intervals in monte carlo system reliability evaluation

2005 ◽  
Author(s):  
C.M. Rocco S. ◽  
E. Zio
Keyword(s):  
Monte Carlo ◽  
Confidence Intervals ◽  
System Reliability ◽  
Reliability Evaluation

scholarly journals Fast power system reliability evaluation by Monte Carlo method

2002 ◽  
Vol 122 (3) ◽  
pp. 369-374 ◽  
Author(s):  
Suguru Fukutome ◽  
Hitoshi Azuma ◽  
Tomoko Saishoji ◽  
Masashi Yasuda ◽  
Hiroshi Saito ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Power System ◽  
System Reliability ◽  
Reliability Evaluation ◽  
Power System Reliability ◽  
Fast Power

A NEW AND FAST ELECTRIC POWER GENERATING SYSTEM RELIABILITY EVALUATION MODEL USING PETRI NETS

1994 ◽  
Vol 01 (04) ◽  
pp. 459-473 ◽  
Author(s):  
H. SALEHFAR ◽  
R. RODICK
Keyword(s):  
Monte Carlo ◽  
Petri Nets ◽  
System Reliability ◽  
Random Number ◽  
Evaluation Model ◽  
Reliability Evaluation ◽  
Power System Reliability ◽  
General Sense ◽  
Random Number Generators ◽  
Generating System

This paper presents a new power generating system reliability evaluation model which performs like a Monte Carlo based reliability model but without using random number generators or probability distribution of system components. The proposed method is based on a class of Petri Nets known as timed state machine Petri Nets (TSMPNs). The method is simple, flexible, accurate, and extremely fast. A comparison of results from the new model with those from conventional Monte Carlo based reliability techniques shows the fidelity of the model and its potential usefulness in power system reliability studies. The method can also be extended and utilized for other system reliability studies in a more general sense.

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