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Prediction of changes in the performance characteristics of a building

Nowogońska B.

Technical Transactions

2017

Vol. 6(114)

145--151

Over the course of their use, building structures are subject to constant destructive processes, which can take various courses. Over time, performance characteristics deteriorate, and can be partially restored as a result of repair works. The article presents a proposal for the prediction of changes in the performance characteristics of a building based on the adaptation of principles applied in predicting the operational reliability of technical objects.

Obiekty budowlane podczas użytkowania podlegają ciągłym procesom destrukcyjnym o zróżnicowanym przebiegu. W miarę upływu czasu następuje obniżanie właściwości użytkowych, a częściowe ich przywrócenie następuje w wyniku napraw. W artykule przedstawiona jest propozycja prognozy zmian właściwości użytkowych budynku oparta na adaptacji zasad stosowanych w prognozowaniu niezawodności eksploatacyjnej obiektów technicznych.

Continuity of scale parameter estimators with respect to stochastic orders

Bartoszewicz J., Frąszczak M.

Probability and Mathematical Statistics

2012

Vol. 32, Fasc. 1

57--67

Lehmann and Rojo [8] proposed a concept of invariance of stochastic orders and related probability metrics with respect to increasing transformations of random variables. Bartoszewicz and Benduch [3] and Bartoszewicz and Frąszczak [4] applied a concept of Lehmann and Rojo to new settings. In the paper these results are applied to the problem of robustness in the sense of Zieliński [11], [12]. Metrics related to some stochastic orders are used to study the continuity (robustness) of scale parameter estimators when contaminations of the models are generated by stochastic orders. The exponential model is considered in detail.

A new method for computing the reliability of composite systems

Karbasian M., Mahdavi M.

Journal of Polish Safety and Reliability Association

2007

Vol. 1

199--203

This paper tries to represent a new method for computing the reliability of a system, which is arranged in series or parallel model. In this method we estimate life distribution function of whole system using the asymptotic Extreme Value (EV) distribution of Type I, or Gumbel theory. We use EV distribution in minimal mode, for estimate the life distribution function of series system and maximal mode for parallel system. All parameters also are estimated by Moments method. Reliability function and failure (hazard) rate and p-th percentile point of each function are determined. Other important indexes such as Mean Time to Failure (MTTF), Mean Time to repair (MTTR), for non-repairable and renewal systems in both of series and parallel structures will be computed.