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Preventive maintenance with imperfect repairs of a system with redundant objects

Okulewicz J., Salamonowicz T.

Journal of Polish Safety and Reliability Association

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2008

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Vol. 2

279--286

EN

An object ability to realise tasks may be restored by repairing only failed components. This is called imperfect repair as the object is not as good as new after such a repair. Preventive replacement is an example of imperfect repair as well. The advantage of such maintenance is that it enables controlling a reliability level of a system. Sets of objects’ components which should be replaced are derived on a basis of statistical diagnosing with use of data about components failures. The acceptable level of a failure risk while executing transportation tasks has been taken as a criterion of choosing elements to be replaced. An algorithm of selecting components for preventive replacement has been developed. It was shown that a level of a system reliability can be controlled by changing an order of a quantile function in coordination and a number of redundant objects. A computer simulation model of the system was used to illustrate derived dependencies.

2

Preventive maintenance with imperfect repairs of a system with redundant objects

Okulewicz J., Salamonowicz T.

Journal of KONBiN

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2008

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No. 5 (8)

157-170

EN

An object ability to realise tasks may be restored by repairing only failed components. This is called imperfect repair, as the object is not as good as new after such a repair. Preventive replacement is an example of imperfect repair as well. The advantage of such maintenance is that it enables controlling a reliability level of a system. Sets of objects' components that should be replaced are derived on a basis of statistical diagnosing with use of data about components failures. The acceptable level of a failure risk while executing transportation tasks has been taken as a criterion of choosing elements to be replaced. An algorithm of selecting components for preventive replacement has been developed. It was shown that a level of system reliability could be controlled by changing an order of a quintile function in coordination and a number of redundant objects. A computer simulation model of the system was used to illustrate derived dependencies.

PL

Przedmiotem artykułu jest metodyka obsługiwania prewencyjnego systemów technicznych z nadmiarem, z uwzględnieniem możliwych błędnych procesów obsługowych.

3

Modelowanie profilaktycznego obsługiwania parku samochodów

Okulewicz J., Salamonowicz T.

Eksploatacja i Niezawodność

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2008

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nr 1

67-71

PL

W referacie przedstawiono metodę utrzymania wymaganej niezawodności parku pojazdów. Założony efekt uzyskano poprzez użycie diagnozowania statystycznego do wskazywania zakresu wymian profilaktycznych. Kryterium wyboru był akceptowalny poziom prawdopodobieństwa uszkodzenia pojazdów podczas realizowania zadań transportowych. Opracowano algorytm wyboru wymienianych składników floty pojazdów. Wykazano, że na poziom niezawodności parku pojazdów można oddziaływać nie tylko poprzez zmianę rzędu kwantyla, ale także poprzez dodawanie odpowiedniej liczby nadmiarowych pojazdów. Dla potwierdzenia wyprowadzonych zależności zastosowano model symulacyjny wymian profilaktycznych.

EN

The paper presents a method of means of transport maintenance with a required reliability. Such results are achieved by using statistical diagnosing as a base of preventive replacement of objects in a fleet. The acceptable level of a failure risk while executing transportation tasks has been taken as a criterion. An algorithm for selecting elements for preventive replacement has been developed. It was shown that a level of a fleet reliability can be controlled not only by changing an order of a quantile function but also by adding a number of redundant objects to the fleet. A computer simulation model was used to explicate derived dependencies between a redundancy and a quantile order.

4

Preventive maintenance with imperfect repairs of vehicles

Okulewicz J., Salamonowicz T.

Journal of KONES

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2007

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Vol. 14, No. 3

485-494

EN

A vehicle ability to realise transport tasks may be restored by repairing only failed elements. This is called imperfect repair as the vehicle is not as good as new after such a repair. Preventive replacement is an example of imperfect repair as well. The advantage of such maintenance is that it enables controlling a reliability level of a fleet of vehicles. Sets of vehicles elements which should be replaced in that aim are derived on a base of statistical diagnosing with use of data about elements failures. The acceptable level of a failure risk while executing transportation tasks has been taken as a criterion. An algorithm for selecting elements for preventive replacement has been developed. It was shown that a level of a fleet reliability can be controlled by changing an order of a quantile function in coordination with a number of redundant objects. A computer simulation model of the vehicle fleet was used as an example to illustrate derived dependencies. In particular algorithm for selecting elements for preventive replacement, graph of model states, graphical interpretation of calculating new quantile orders, simulation experiments results for system n out of n, simulation experiments results for d = 2,5 are presented in the paper.