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Tytuł:
Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors
Autorzy:
Kozłowski, Edward
Borucka, Anna
Oleszczuk, Piotr
Jałowiec, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/27322964.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
maintenance
semi-Markov model
hidden factors
system readiness
Opis:
Modelling the time that the system remains in a given state using classical distributions is not always possible. In many cases, empirical distributions are multimodal due to the influence of external, hidden factors and the selection of the best classical distributions may lead to erroneous results. In the article the method of diagnosis of influence of hidden factors into sojourn time of semi-Markov models was presented. In order to capture hidden factors, the authors proposed to model the distributions of the sojourn time with a mixture of distributions, which is a significant novelty in relation to the studies presented in the literature. Hidden factors directly affect the reliability of technical systems. Detecting the existence of these factors enables more accurate modeling of system readiness. Paying attention to irregularities caused by hidden factors makes it possible to reduce system maintenance costs. Such a system model providescomplete information and enables a reliable assessment of the system readiness and maintenance.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 172857
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Semi-Markov approach for reliability modelling of light utility vehicles
Autorzy:
Oszczypała, Mateusz
Ziółkowski, Jarosław
Małachowski, Jerzy
Powiązania:
https://bibliotekanauki.pl/articles/24200838.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
semi-Markov model
reliability modelling
readiness
maintenance analysis
transportation system
Opis:
Vehicles are important elements of military transport systems. Semi-Markov processes, owing to the generic assumption form, are a useful tool for modelling the operation process of numerous technical objects and systems. The suggested approach is an extension of existing stochastic methods employed for a wide spectrum of technical objects; however, research on light utility vehicles complements the subject gap in the scientific literature. This research paper discusses the 3-state semi-Markov model implemented for the purposes of developing reliability analyses. Based on an empirical course of the operation process, the model was validated in terms of determining the conditional probabilities of interstate transitions for an embedded Markov chain, as well as parameters of time distribution functions. The Laplace transform was used to determine the reliability function, the failure probability density function, the failure intensity, and the expected time to failure. The readiness index values were calculated on ergodic probabilities.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 2; art. no. 161859
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The matter of decision-making control over operation processes of marine power plant systems with the use of their models in the form of semi-Markov decision-making processes
Autorzy:
Girtler, Jerzy
Rudnicki, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/1551829.pdf
Data publikacji:
2021
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
semi-Markov model
ship main engine
operation process
stochastic process
operational state
technical state
marine power plant equipment
Opis:
The article presents the possibility to control the real operation process of an arbitrary device installed in the marine power plant based on the four-state semi-Markov process, being the model of the process, which describes the transition process of operational states of the device (ek , k = 1, 2, 3, 4), and the transition process of its technical states (sl , l = 1, 2, 3). The operational states ek (k = 1, 2, 3, 4) have the following interpretation: e1 – active operation state resulting from the task performed by the device, e2 – state of ready-to-operate stop of the device, e3 – state of planned preventive service of the device, e4 – state of unplanned service of the device, forced by its damage. Whereas the interpretation of the technical states sl (l = 1, 2, 3) is as follows: s1 – state of full serviceability of the device, s2 – state of partial serviceability of the device, and s3 – state of unserviceability of the device. All these states are precisely defined for the ship main engine (SG). A hypothesis is proposed which justifies the use of this model to examine real state transitions in marine power plant device operation processes. The article shows the possibility to make operating decisions ensuring a rational course of the device operation process when the proposed model of this process and the dynamic programming method based on the Bellman’s principle of optimality are applied. The optimisation criterion adopted when making operating decisions is the expected profit to be gained as a result of functioning of the device in the time interval [τ0 , τm], being the sum of the expected profit gained in interval [τ0 , τ1 ] and to be gained in interval [τ1 , τm].
Źródło:
Polish Maritime Research; 2021, 1; 116-126
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monte Carlo simulation approach to determination of oil spill domains at port and sea water areas
Autorzy:
Dąbrowska, E.
Kołowrocki, K.
Powiązania:
https://bibliotekanauki.pl/articles/116316.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
oil spills domains
Monte Carlo simulation
determination of oil spill
port area
sea water areas
oil spill
Semi-Markov model
hydro-meteorological conditions
Opis:
Monte Carlo simulation method of oil spill domains determination based on the probabilistic approach to the solution of this problem is proposed. A semi-Markov model of the process of changing hydro-meteorological conditions is constructed and its parameters are defined. The general stochastic model of oil spill domain movement for various hydro-meteorological conditions is described. Monte Carlo simulation procedure is created and applied to generating the process of changing hydro-meteorological conditions and the prediction of the oil spill domain movement impacted by these changes conditions.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 1; 59-64
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Probabilistic approach to determination of oil spill domains at port and sea water areas
Autorzy:
Dąbrowska, E.
Kołowrocki, K.
Powiązania:
https://bibliotekanauki.pl/articles/116051.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
oil spill
oil spill domains
determination of oil spill
Semi-Markov Model
sea water areas
port area
probabilistic approach
hydro-meteorological conditions
Opis:
Maritime safety involves minimizing error in all aspects of the marine system. Human error has received much importance, being responsible for about 80% of the maritime accident worldwide. Currently, more attention has been focused to reduce human error in marine engine maintenance. On-board marine engine maintenance activities are often complex, where seafarers conduct maintenance activities in various marine environmental (i.e. extreme weather, ship motions, noise, and vibration) and operational (i.e. work overload and stress) conditions. These environmental and operational conditions, in combination with generic human error tendencies, results in innumerable forms of error. There are numerous accidents that happened due to the human error during the maintenance activities of a marine engine. The most severe human error results in accidents due to is a loss of life. Moreover, there are other consequences too such as delaying the productivity of marine operations which results in the financial loss. This study reviews methods that are currently available for identifying, reporting and managing human error in marine engine maintenance. As a basis for this discussion, authors provide an overview of approaches for investigating human error, and a description of marine engine maintenance activities and environmental and operational characteristics.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 1; 51-58
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The quantification method of functional availability military vehicles
Autorzy:
Przybysz, Kamil
Powiązania:
https://bibliotekanauki.pl/articles/1537426.pdf
Data publikacji:
2020
Wydawca:
Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
Tematy:
functional availability
safety
reliability
semi-Markov models
dostępność funkcjonalna
bezpieczeństwo
niezawodność
model semi-Markowa
Opis:
The availability is one of the most important feature of a technical object which shapes its operational quality. The paper undertakes the issue related to the quantification of functional availability of vehicles, with reference to reliability aspects. The conducted exploitation research paved the way for elaborating methods of determining functional availability for vehicles, in particular focusing on reliability. The essential research was conducted using the developed mathematical model based on the probabilistic, stochastic Markov process, which allowed modelling the process of changes in the exploitation states of vehicles. In view of the above, it is essential to develop methods that enable the most accurate estimation of the functional availability of vehicles. Knowing the values of functional availability, we can estimate the probability of performing assigned tasks and precisely control the vehicle exploitation system, especially in terms of availability, which is important for vehicles. This work presents a method for determining the functional availability of vehicles, taking into account the limitations introduced by the vehicle exploitation system. Particular attention was paid to the possibility of using probabilistic, stochastic semiMarkov models, whose rules and method of creation were generally described, with regard to the ability to acquire operational data in the vehicle exploitation system.
Źródło:
Inżynieria Bezpieczeństwa Obiektów Antropogenicznych; 2020, 4; 1-11
2450-1859
2450-8721
Pojawia się w:
Inżynieria Bezpieczeństwa Obiektów Antropogenicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting the readiness of special vehicles using the semi-Markov model
Prognozowanie gotowości pojazdów specjalnych na podstawie modelu semi-Markowa
Autorzy:
Borucka, Anna
Niewczas, Andrzej
Hasilova, Kamila
Powiązania:
https://bibliotekanauki.pl/articles/1365303.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
vehicle exploitation system
special vehicles
readiness
semi-Markov model
system eksploatacji samochodów
pojazdy specjalne
gotowość
model semi-Markowa
Opis:
The vehicle exploitation system, consisting of statistically identical objects that perform intervention tasks, not subject to systematic changes, can be modelled as a stationary stochastic process. Such a model allows to determine the probabilistic indicators of current and boundary readiness of the system. This article presents the use of the semi-Markov process, based on three operating states: operation, ready-to-be-used and repair, to study a transport system consisting of special vehicles. On the example of a sample consisting of police patrol cars, experimental studies of the intensity of fleet utilization, time of failure-free operation of vehicles were carried out, and it was demonstrated that the examined transport system is characterized by a satisfactory, stationary readiness coefficient. The developmental possibilities of the presented modelling method were emphasized.
System eksploatacji samochodów, które realizują zadania interwencyjne, niepodlegający systematycznym zmianom może być modelowany jako stacjonarny proces stochastyczny. Taki model pozwala wyznaczyć probabilistyczne wskaźniki bieżącej i granicznej gotowości systemu. W niniejszym artykule, do modelowania systemu eksploatacji pojazdów specjalnych, wykorzystano proces semi-Markowa, oparty na trzech stanach eksploatacyjnych: użytkowania, postoju użytkowego i naprawy. Na przykładzie próby radiowozów policyjnych przeprowadzono doświadczalne badania intensywności użytkowania floty, czasu bezawaryjnej pracy pojazdów a także wykazano, że badany system transportowy charakteryzuje się zadowalającym, stacjonarnym współczynnikiem gotowości. Podkreślono rozwojowe możliwości przedstawionej metody modelowania.
Źródło:
Eksploatacja i Niezawodność; 2019, 21, 4; 662-669
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling of transport system operational reliability a Markov approach
Autorzy:
Smolarek, Leszek
Ziemska, Monika
Powiązania:
https://bibliotekanauki.pl/articles/243419.pdf
Data publikacji:
2019
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
transport
road transport
simulation
Markov model
semi-Markov model
Opis:
The workability of a transport system is associated with performance and operational reliability. Operational reliability provides a measure of the probability that a transport system will realize transport process as intended. Performance reliability is an adequacy measure of transport process realization under specific environmental and traffic conditions. Transport system can be modelled as repairable, multistate, non-homogenous rectangular or dendrite system. This article provides the Markov and semi Markov models for estimation of the operational and performance reliability of city transport system. The system is semi homogenous it means that serial subsystems have the same reliability function. The reliability of any serial subsystem is exponential. The distribution of the repair time is any probability distribution. In case where the probability distribution of the repair time is exponential, the Markov process is used to construct simulation model. The simulation model was applied at Microsoft Excel. Many stochastic models in engineering, logistic and even finance or insurance are setup in a spreadsheet for simulation. The semi Markov model of the multistate reliability of repaired system is applied to the street system. The embedded Markov chain was used to count stationary probabilities. The possibility of application of the results is illustrated by an example for the systems with rectangular or dendrite shaped accordingly, consist of three types of elements.
Źródło:
Journal of KONES; 2019, 26, 4; 227-234
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic condition-based maintenance policy for degrading systems described by a random-coefficient autoregressive model: A comparative study
Dynamiczna strategia utrzymania ruchu na podstawie stanu technicznego dla ulegających degradacji systemów opisanych modelem autoregresyjnym z parametrami losowymi – studium porównawcze
Autorzy:
Tang, D.
Sheng, W.
Yu, J.
Powiązania:
https://bibliotekanauki.pl/articles/302062.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
degradation modeling
autoregressive model
Bayesian method
residual life estimation
semi-Markov decision process
condition-based maintenance
modelowanie degradacji
model autoregresyjny
metoda bayesowska
ocena trwałości resztkowej
semi-markowski proces decyzyjny
utrzymanie na podstawie stanu technicznego
Opis:
In this paper, we optimize a dynamic condition-based maintenance policy for a slowly degrading system subject to soft failure and condition monitoring at equidistant, discrete time epochs. A random-coefficient autoregressive model with time effect is developed to describe the system degradation. The system age, previous state observations, and the item-to-item variability of the degradation are jointly combined in the proposed degradation model. Stochastic behavior for both the age-dependent and the state dependent term are considered, and a Bayesian approach for periodically updating the estimates of the stochastic coefficients is developed to combine information from a degradation database with real-time condition-monitoring information. Based on this degradation model, the dynamic maintenance policy is formulated and solved in a semi-Markov decision process framework. Incorporated with the same semi-Markov decision process framework is a novel approach for mean residual life estimation, which enables simultaneous residual life estimation with the optimization procedure. The effectiveness of using the proposed random coefficient autoregressive model with time effect rather than the existing fixed-coefficient ones to describe system degradation is demonstrated through a comparative study based on a real degradation dataset. The advantages of using a dynamic maintenance policy are also revealed.
W prezentowanej pracy dokonano optymalizacji dynamicznej, uwzględniającej stan techniczny obiektu strategii utrzymania ruchu dla wolno ulegającego degradacji systemu monitorowanego w równoodległych dyskretnych chwilach czasu (epokach) pod względem uszkodzeń parametrycznych oraz stanu technicznego. Do opisu degradacji systemu opracowano model autoregresyjny z parametrami losowymi uwzględniający wpływ czasu. Proponowany model degradacji bierze pod uwagę zarówno wiek systemu jak i wcześniejsze obserwacje stanu oraz zmienność degradacji pomiędzy obiektami. Rozważano zachowanie stochastyczne zarówno składnika zależnego od wieku jak i składnika zależnego od stanu; opracowano bayesowską metodę okresowej aktualizacji oszacowań współczynników stochastycznych, która pozwala łączyć informacje z bazy danych o degradacji z informacjami z monitorowania stanu w czasie rzeczywistym. W oparciu o otrzymany model degradacji, sformułowano dynamiczną politykę utrzymania ruchu; problem optymalizacji tej polityki rozwiązywano w ramach procesu decyzyjnego semi-Markowa. Do procesu decyzyjnego włączono nowatorską metodę obliczania trwałości resztkowej, co umożliwiło ocenę trwałości resztkowej jednocześnie z przeprowadzeniem procedury optymalizacyjnej. Skuteczność wykorzystania proponowanego modelu autoregresyjnego do opisu degradacji systemu porównywano ze skutecznością dotychczasowych modeli z parametrami stałymi w badaniu opartym na rzeczywistym zbiorze danych o degradacji. Wskazano również zalety stosowania proponowanej dynamicznej strategii utrzymania ruchu.
Źródło:
Eksploatacja i Niezawodność; 2018, 20, 4; 590-601
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Semi-Markov model of multi-modal transport operation
Autorzy:
Grabski, F.
Powiązania:
https://bibliotekanauki.pl/articles/242572.pdf
Data publikacji:
2017
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
semi-Markov model
multistage transport operation
reliability function
mean time to failure
Opis:
Multi-modal transport means the transport of the objects through at least two different carriers of any combination of simple tasks of transport carriers (by truck, by train, by ship or by plane). A Semi-Markov (SM) model of multi-modal transport operation is presented in the article. The SM process is defined by the renewal kernel of that one. In our model, time to failure of the operation is represented by a random variable that denotes the first passage time from the given state to the subset of states. The duration of one operation cycle is a random variable representing the return time to the initial state. The appropriate theorems of the Semi-Markov processes theory allow us to calculate characteristics and parameters of the transport operation model. The article presents the example of the transport operation final part of container with cargo from Warsaw to Stockholm, where from Warsaw to Gdynia, the container is transported by lorry, from Gdynia to Karlscorona by ferry and from Karlscorona to Stockholm by truck.
Źródło:
Journal of KONES; 2017, 24, 4; 47-54
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Semi-Markov Reliability Model of System Composed of Main Subsystem, Cold Backup Component and Switch
Autorzy:
Grabski, F.
Powiązania:
https://bibliotekanauki.pl/articles/2068910.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
semi-Markov model
reliability characteristics
Opis:
Probabilistic model of a system composed of a main component, an emergency backup component and the automatic switch are discussed in this paper. The reliability model is semi-Markov process describing evolution of the system. Conditional time to failure of the system is represented by a random variable denoting the first passage time of the process from the given state to the subset of states. The appropriate theorems of the Semi-Markov processes theory allow us to evaluate the reliability function and some reliability characteristics. To calculate the reliability function and mean time to failure of the system we apply theorems of the Semi-Markov processes theory concerning the conditional reliability functions.
Źródło:
Journal of Polish Safety and Reliability Association; 2017, 8, 1; 47--54
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identification methods and procedures of climate-weather change process including extreme weather hazards for maritime ferry operating at Baltic Sea open waters
Autorzy:
Jakusik, E.
Kołowrocki, K.
Kuligowska, E.
Soszyńska-Budny, J.
Torbicki, M.
Powiązania:
https://bibliotekanauki.pl/articles/2068984.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
climate-weather change process
semi-Markov model
modelling
identification
transportation system
Opis:
There are presented the methods of identification of the climate-weather change process. These are the methods and procedures for estimating the unknown basic parameters of the climate-weather change process semi-Markov model and identifying the distributions of the climate-weather change process conditional sojourn times at the climate-weather states. There are given the formulae estimating the probabilities of the climate-weather change process staying at the particular climate-weather states at the initial moment, the probabilities of the climate-weather change transitions between the climate-weather states and the parameters of the distributions suitable and typical for the description of the climate-weather change process conditional sojourn times at the particular climate-weather states. The proposed statistical methods applications for the unknown parameters identification of the climate-weather change process model determining the climate-weather change process parameters for maritime ferry operating at Baltic Sea open waters are presented.
Źródło:
Journal of Polish Safety and Reliability Association; 2016, 7, 3; 73--80
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identification methods and procedures of climate-weather change process including extreme weather hazards for port oil piping transportation system operating at under water Baltic Sea area
Autorzy:
Jakusik, E.
Kołowrocki, K.
Kuligowska, E.
Soszyńska-Budny, J.
Torbicki, M.
Powiązania:
https://bibliotekanauki.pl/articles/2068999.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
climate-weather change process
semi-Markov model
modelling
identification
transportation system
Opis:
There are presented the methods of identification of the climate-weather change process. These are the methods and procedures for estimating the unknown basic parameters of the climate-weather change process semi-Markov model and identifying the distributions of the climate-weather change process conditional sojourn times at the climate-weather states. There are given the formulae estimating the probabilities of the climate-weather change process staying at the particular climate-weather states at the initial moment, the probabilities of the climate-weather change transitions between the climate-weather states and the parameters of the distributions suitable and typical for the description of the climate-weather change process conditional sojourn times at the particular climate-weather states. The proposed statistical methods applications for the unknown parameters identification of the climate-weather change process model determining the climate-weather change process parameters for the initial point of the port oil piping transportation system are presented.
Źródło:
Journal of Polish Safety and Reliability Association; 2016, 7, 3; 47--56
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identification methods and procedures of climate-weather change process including extreme weather hazards for the maritime ferry operating at Gdynia port area
Autorzy:
Jakusik, E.
Kołowrocki, K.
Kuligowska, E.
Soszyńska-Budny, J.
Torbicki, M.
Powiązania:
https://bibliotekanauki.pl/articles/2068991.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
climate-weather change process
semi-Markov model
modelling
identification
transportation system
Opis:
There are presented the methods of identification of the climate-weather change process. These are the methods and procedures for estimating the unknown basic parameters of the climate-weather change process semi-Markov model and identifying the distributions of the climate-weather change process conditional sojourn times at the climate-weather states. There are given the formulae estimating the probabilities of the climate-weather change process staying at the particular climate-weather states at the initial moment, the probabilities of the climate-weather change transitions between the climate-weather states and the parameters of the distributions suitable and typical for the description of the climate-weather change process conditional sojourn times at the particular climate-weather states. The proposed statistical methods applications for the unknown parameters identification of the climate-weather change process model determining the climate-weather change process parameters for the maritime ferry operating at Gdynia port area are presented.
Źródło:
Journal of Polish Safety and Reliability Association; 2016, 7, 3; 65--72
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identification methods and procedures of climate-weather change process including extreme weather hazards of port oil piping transportation system operating at land Baltic seaside area
Autorzy:
Jakusik, E.
Kołowrocki, K.
Kuligowska, E.
Soszyńska-Budny, J.
Torbicki, M.
Powiązania:
https://bibliotekanauki.pl/articles/2068953.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
climate-weather change process
semi-Markov model
modelling
identification
transportation system
Opis:
There are presented the methods of identification of the climate-weather change process. These are the methods and procedures for estimating the unknown basic parameters of the climate-weather change process semi-Markov model and identifying the distributions of the climate-weather change process conditional sojourn times at the climate-weather states. There are given the formulae estimating the probabilities of the climate-weather change process staying at the particular climate-weather states at the initial moment, the probabilities of the climate-weather change transitions between the climate-weather states and the parameters of the distributions suitable and typical for the description of the climate-weather change process conditional sojourn times at the particular climate-weather states. The proposed statistical methods applications for the unknown parameters identification of the climate-weather change process model determining the climate-weather change process parameters for the port oil piping transportation system operating at land Baltic seaside area are presented.
Źródło:
Journal of Polish Safety and Reliability Association; 2016, 7, 3; 57--64
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 33

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