Use of psa tools and techniques in life cycle management of maintenance and operation of complex system

Vrbanić, Ivan; Šimić, Zdenko; Bašić, Ivica

doi:10.1109/rams.2004.1285496

Search citation statements

Order By: Relevance

Paper Sections

Select...

Definition Of Time Dependents Tandbyfailureratem Odel Withi1

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Assuming therei ss ome priorknowledge of parameters a , ß and q and thatadequateo perationalh istory recordsfort he equipmentof concernexists,the parameters canbeestimated bymeansof Bayesiananalysis(e.g. [6][7][8][9]). Forestimation of the parameters a , ß and q from Eq.…”

Section: Definition Of Time Dependents Tandbyfailureratem Odel Withimentioning

confidence: 99%

Prediction of time dependent standby failure rates for periodically tested components taking into account the operational history

2009

View full text Add to dashboard Cite

show abstract

Section: Definition Of Time Dependents Tandbyfailureratem Odel Withimentioning

confidence: 99%

Prediction of time dependent standby failure rates for periodically tested components taking into account the operational history

2009

View full text Add to dashboard Cite

show abstract

Prediction of the time-dependent failure rate for normally operating components taking into account the operational history

2008

View full text Add to dashboard Cite

The prediction of the time-dependent failure rate has been studied, taking into account the operational history of a component used in applications such as system modeling in a probabilistic safety analysis in order to evaluate the impact of equipment aging and maintenance strategies on the risk measures considered. We have selected a time-dependent model for the failure rate which is based on the Weibull distribution and the principles of proportional age reduction by equipment overhauls. Estimation of the parameters that determine the failure rate is considered, including the definition of the operational history model and likelihood function for the Bayesian analysis of parameters for normally operating repairable components. The operational history is provided as a time axis with defined times of overhauls and failures. An example for demonstration is described with prediction of the future behavior for seven different operational histories.

show abstract

Use of psa tools and techniques in life cycle management of maintenance and operation of complex system

Cited by 2 publications

References 5 publications

Prediction of time dependent standby failure rates for periodically tested components taking into account the operational history

Prediction of time dependent standby failure rates for periodically tested components taking into account the operational history

Prediction of the time-dependent failure rate for normally operating components taking into account the operational history

Contact Info

Product

Resources

About