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PL
W artykule przedstawiono nowe praktyczne narzędzie do rozwiązania zagadnienia optymalizacji procesu eksploatacji i niezawodności złożonych systemów technicznych. Wykorzystano zintegrowany ogólny model niezawodności złożonych systemów technicznych w zmiennych warunkach eksploatacyjnych, łączący wielostanowe podejście do analizy niezawodności systemów z modelem semi-markowskim ich procesu eksploatacji. Ten łączny model oraz programowanie liniowe zaproponowane są jako narzędzie do optymalizacji procesów eksploatacji złożonych systemów technicznych skutkującej maksymalizacją średnich czasów przebywania systemów w podzbiorach stanów niezawodnościowych.
EN
A convenient new tool for solving the problem of reliability and availability evaluation and optimisation of complex technical systems is presented. Linking a semi-Markov modelling of the system operation processes with a multi-state approach to system reliability analysis is proposed to construct the joint general model of the reliability of complex technical systems in variable operation conditions. This joint model and linear programming are proposed for complex technical systems for the optimisation and maximisation the system lifetimes in the reliability state subsets.
EN
The method of the statistical data sets uniformity analysis based on Kolmogorov-Smirnov test is presented. The procedure of statistical data sets uniformity testing is proposed to be applied to the empirical sojourn times in operation states coming from the operation processes of the complex technical systems. The proposed procedure is practically applied to the analysis and uniformity testing of the maritime ferry spring and Winter sets of realizations of the sojourn times in particular operation states.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods and procedures for testing the uniformity of the statistical data collected from the operation process of the complex technical system in different experiments and their application in practice. It is based on theoretical backgrounds concerned with the semi-markov modeling of the complex technical systems operation processes and on the statistical methods of uniformity testing data of two samples coming from the complex technical system operation process. The illustration of the proposed methods and procedures practical application in maritime transport is included.
EN
The joint general model of safety of complex technical systems in variable operation conditions linking a semimarkov modeling of the system operation processes with a multi-state approach to system safety analysis and linear programming are applied in maritime transport to safety and risk optimization of a ferry technical system.
EN
There is presented a practically well grounded approach concerned with the identification, evaluation, prediction and optimization of reliability, availability and safety of technical systems related to their operation processes. The main emphasis of this approach is on multi-state systems composed of ageing components and changing during the operation processes their structures and their components reliability and safety characteristics. There are proposed the convenient tools for analyzing these systems in the form of semi-markov modeling the systems’ operation processes and multistate modeling the systems’ reliability. There are described theoretical results of the proposed approach to reliability and safety analysis of multistate systems with degrading components in their operation processes and the possibility of their practical applications to the reliability and safety analysis and optimization of the complex technical port and maritime transportation systems.
EN
In the paper a Semi-markov process is used to construct a general model of complex industrial systems’ operation processes. Main parameters of this model are defined and its main characteristics are determined as well. In particular case, for a gantry crane, the operation states are defined, the relationships between them are fixed and particular model of its operation process is constructed and finally its main characteristics are determined.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for prediction of the operation processes of the complex technical systems and their application in practice. It is based on the theoretical backgrounds concerned with the semi-markov modelling of the complex technical systems operation processes and on the methods of these processes prediction. The illustrations of the proposed methods and procedures practical application in port, shipyard and maritime transport sector and are included.
EN
The paper is concerned with the identification of operation processes of complex technical systems. The convenient tools suggested for analyzing these complex technical systems operation processes are semi-markov modeling and Monte Carlo simulation. The paper describes the proposed approach as well as the possibility of its practical application to identification of the operation process of a maritime ferry.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the unknown parameters of the operations processes of the complex technical systems and their application in practice. It is based on theoretical backgrounds concerned with the semi-markov modelling of the complex technical systems operations processes, the statistical methods of identification of the complex technical systems operation processes. The illustrations of the proposed methods and procedures practical application in port, shipyard and maritime transport sector are included.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the unknown parameters of the operations processes of the complex technical systems and their application in practice. It is based on theoretical backgrounds concerned with the semi-markov modelling of the complex technical systems operations processes, the statistical methods of identification of the complex technical systems operation processes. The illustrations of the proposed methods and procedures practical application in port, shipyard and maritime transport sector are included.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the safety models of components of the complex technical systems and their applications in practice. It is based on the theoretical backgrounds concerned with the semi-markov modeling of the complex technical systems operation processes, on the complex technical systems and their components multistate safety models and on the statistical methods of identification of the complex technical system components safety models. The illustration of the proposed methods and procedures practical application in maritime transportation is included.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the safety models of components of the complex technical systems and their applications in practice. It is based on the theoretical backgrounds concerned with the semi-markov modeling of the complex technical systems operation processes, on the complex technical systems and their components multistate safety models and on the statistical methods of identification of the complex technical system components safety models. The illustration of the proposed methods and procedures practical application in maritime transportation is included.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the safety models of components of the complex technical systems and their applications in practice. It is based on the theoretical backgrounds concerned with the semi-markov modeling of the complex technical systems operation processes, on the complex technical systems and their components multistate safety models and on the statistical methods of identification of the complex technical system components safety models. The illustration of the proposed methods and procedures practical application in maritime transportation is included.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the safety models of components of the complex technical systems and their applications in practice. It is based on the theoretical backgrounds concerned with the semi-markov modeling of the complex technical systems operation processes, on the complex technical systems and their components multistate safety models and on the statistical methods of identification of the complex technical system components safety models. The illustration of the proposed methods and procedures practical application in maritime transportation is included.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the reliability models of components of the complex technical systems and their applications in practice. It is based on the theoretical backgrounds concerned with the semi-markov modeling of the complex technical systems operation processes, on the complex technical systems and their components multistate reliability models and on the statistical methods of identification of the complex technical system components reliability models. The illustrations of the proposed methods and procedures practical application in port and shipyard transportation are included.
EN
There is presented the contents of the training course addressed to industry. The curriculum of the course includes the methods, algorithms and procedures for identification of the reliability models of components of the complex technical systems and their applications in practice. It is based on the theoretical backgrounds concerned with the semi-markov modeling of the complex technical systems operation processes, on the complex technical systems and their components multistate reliability models and on the statistical methods of identification of the complex technical system components reliability models. The illustrations of the proposed methods and procedures practical application in port and shipyard transportation are included.
17
Content available remote Reliability and safety of complex technical systems an overall approach
EN
The paper is concerned with the identification, evaluation, prediction and optimization of reliability, availability and safety of technical systems related to their operation processes. The main emphasis is on multi-state systems composed of ageing components and changing during their operation their structures and their components reliability and safety characteristics. The convenient tools suggested for analyzing these complex technical systems are semi-markov modeling of the systems' operation processes and multistate approach to the systems' reliability modeling. The paper describes current theoretical results on the proposed approach to reliability and safety analysis of multi-state systems with ageing components in their operation processes and the possibility of their practical applications to the reliability, safety analysis and optimization of the complex technical port and maritime transportation systems.
PL
Artykuł obejmuje zagadnienia dotyczące identyfikacji, szacowania, predykcji i optymalizacji niezawodności, gotowości i bezpieczeństwa systemów technicznych z uwzględnieniem ich procesów eksploatacji. Główny nacisk położony jest na systemy wielostanowe ze starzejącymi się elementami zmieniające podczas eksploatacji swoje struktury oraz charakterystyki niezawodnościowe bezpieczeństwa elementów. Dogodnymi narzędziami proponowanymi do analizy tych złożonych systemów technicznych są procesy semi-markowa służące do modelowania procesów eksploatacji tych systemów oraz wielostanowe podejście do modelowania niezawodności tych systemów. Artykuł opisuje aktualne teoretyczne rezultaty proponowanego podejścia do analizy niezawodności i bezpieczeństwa wielostanowych systemów ze starzejącymi się elementami podczas ich procesu eksploatacji oraz możliwości ich praktycznego zastosowania do analizy i optymalizacji niezawodności i bezpieczeństwa złożonych portowych i morskich systemów transportowych.
PL
W artykule zintegrowany ogólny model niezawodności złożonych systemów technicznych w zmiennych warunkach eksploatacyjnych, łączący wielostanowe podejście do analizy niezawodności systemów z modelem semi-markowskim ich procesu eksploatacji oraz programowanie liniowe zastosowane są w transporcie morskim do optymalizacji procesu eksploatacji skutkującej podwyższeniem niezawodności portowego rurociągowego systemu transportu paliwa.
EN
The joint general model of reliability of complex technical systems in variable operation conditions linking a semi-markov modeling of the system operation processes with a multi-state approach to system reliability analysis and linear programming are applied in maritime industry to operation process optimization improving reliability of a port piping oil transportation system.
EN
These are presented statistical methods of correlation and regression analysis of the operation processes of complex technical systems. The collected statistical data from the Stena Baltica ferry operation process are analysed and used for determining correlation coefficients and single and multiple regression equations, expressing the influence of the operation process conditional sojourn times in particular operation states on the operation process total time.
PL
Przedstawione są statystyczne metody analizy regresji i korelacji procesów eksploatacji złożonych systemów technicznych. Zebrane dane statystyczne z procesu eksploatacji promu Stena Baltica zostały zanalizowane i użyte do wyznaczenia współczynnika korelacji oraz do wyznaczenia równań jednokrotnej i wielokrotnej regresji, wyrażającej wpływ warunkowych czasów przebywania procesu eksploatacji w poszczególnych stanach eksploatacyjnych na całkowity czas procesu eksploatacji.
PL
W artykule przedstawiono wielostanowe podejście do zagadnienia analizy ryzyka i bezpieczeństwa promu Stena Baltica. Na podstawie obserwacji zdefiniowano podstawowe struktury bezpieczeństwa systemu. Wstępnie zebrane dane statystyczne posłużyły do opisu procesu eksploatacji promu w różnych fazach żeglugi oraz w różnych warunkach zakłócających ruch statku.
EN
In the paper the multi-state approach to the analysis of the risk and safety state of ferry Stena Baltica has been discussed. The ship safety structure has been defined on the basis of experimental data obtained in different phases of navigation and environmental conditions.
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