Search for Author, Title, Keyword
RESEARCH PAPER
Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors
 
More details
Hide details
1
Lublin University of Technology, Poland
 
2
Military University of Technology, Poland
 
3
War Studies University, Poland
 
 
Submission date: 2023-07-25
 
 
Final revision date: 2023-08-31
 
 
Acceptance date: 2023-09-23
 
 
Online publication date: 2023-09-24
 
 
Publication date: 2023-09-24
 
 
Corresponding author
Edward Kozłowski   

Lublin University of Technology, Poland
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):172857
 
HIGHLIGHTS
  • A competitive model for predicting the readiness of the maintenance system has been developed using the semi-Markov model.
  • The method of using the Semi-Markov model in a complex system has been presented.
  • The method of estimating the parameters of the semi-Markov model has been presented in a situation where the sojourn time distributions in the given state are not identifiable using one of the classical distributions.
  • Diagnostics and evaluation of a transport company in terms of its readiness have beenmade
KEYWORDS
TOPICS
ABSTRACT
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 provides complete information and enables a reliable assessment of the system readiness and maintenance.
 
CITATIONS (15):
1.
A MATHEMATICAL MODEL FOR IDENTIFYING MILITARY TRAINING FLIGHTS
Anna Borucka, Przemysław Jabłoński, Krzysztof Patrejko, Łukasz Patrejko
Aviation
 
2.
Advances in Manufacturing IV
Waldemar Paszkowski, Andrzej Loska, Robert Waszkowski
 
3.
Advances in Manufacturing IV
Anna Borucka, Łukasz Patrejko, Krzysztof Patrejko, Julia Lipińska
 
4.
Advances in Manufacturing IV
Patrycja Guzanek, Piotr Bawoł, Grzegorz Sobecki
 
5.
Advances in Manufacturing IV
Adam Górny
 
6.
Advances in Manufacturing IV
Magdalena Dąbrowska, Daniel Medyński, Dagmara Łapczyńska, Anna Burduk, Oleh Pihnastyi
 
7.
Advances in Manufacturing IV
Andrzej Loska, Waldemar Paszkowski, Robert Waszkowski
 
8.
Advances in Manufacturing IV
Anna Borucka, Krzysztof Patrejko, Łukasz Patrejko, Konrad Polakowski
 
9.
Impact of the construct type on the availability of the selected groups of technical objects
Robert Pilch, Maksymilian Smolnik
Journal of Konbin
 
10.
Application of Logistic Regression to Analyze The Economic Efficiency of Vehicle Operation in Terms of the Financial Security of Enterprises
Malgorzata Grzelak, Paulina Owczarek, Ramona-Monica Stoica, Daniela Voicu, Radu Vilău
Logistics
 
11.
The use of the multi-sequential LSTM in electrical tomography for masonry wall moisture detection
Monika Kulisz, Grzegorz Kłosowski, Tomasz Rymarczyk, Anna Hoła, Konrad Niderla, Jan Sikora
Measurement
 
12.
Raising Managerial Competences in the Face of the COVID-19 Pandemic
Zbigniew Ścibiorek, Anna Borucka, Zenon Zamiar
Journal of Modern Science
 
13.
Advances in Design, Simulation and Manufacturing VII
Monika Kulisz, Katarzyna Antosz, Edward Kozłowski
 
14.
The use of decision trees to identify the causes of failures in a medical enterprise - a case study
Izabela Rojek, Małgorzata Jasiulewicz-Kaczmarek, Mariusz Piechowski, Dariusz Mikołajewski
IFAC-PapersOnLine
 
15.
Improving the efficiency of greasing operations with the lubrication management support system - a case study
Mariusz Piechowski, Ryszard Wyczółkowski, Waldemar Paszkowski, Artur Meller
IFAC-PapersOnLine
 
eISSN:2956-3860
ISSN:1507-2711
Journals System - logo
Scroll to top