Most Probable Point System Simulation Method

Most Probable Point System Simulation Method

A procedure is presented for obtaining the reliability of series, parallel, and mixed systems. The method, called Most Probable Point System Simulation (MPPSS) is simple, and numerically-based; however, it is more accurate than current analytically-based bounding methods (e.g., bi-modal) and it is c...

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Veröffentlicht in:SAE transactions 2004-01, Vol.113, p.306-312
Hauptverfasser: Sues, Robert H., Cesare, Mark A.
Format: Artikel
Sprache:eng
Schlagworte:
Approximation
Failure modes
Mathematical independent variables
Probabilities
Probability theory
Random variables
Standard deviation
Structural reliability
System failures
System reliability
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Beschreibung
Zusammenfassung:A procedure is presented for obtaining the reliability of series, parallel, and mixed systems. The method, called Most Probable Point System Simulation (MPPSS) is simple, and numerically-based; however, it is more accurate than current analytically-based bounding methods (e.g., bi-modal) and it is computationally efficient. In addition, the method can be used to obtain system sensitivity factors, that is, the importance of each random variable to the system reliability. The procedure is demonstrated through an example.
ISSN:0096-736X
2577-1531