Imperfect maintenance in correlated bivariate Wiener model

• Autorzy: Bautista Lucía , Castro Inma T. , Bérenguer Christophe , Gaudoin Olivier , Doyen Laurent

Identyfikatory

DOI

10.26408/srsp-2023-01

• Konferencja: 17th Summer Safety & Reliability Seminars - SSARS 2023, 9-14 July 2023, Kraków, Poland
• Języki publikacji: EN

Abstrakty

EN

A two-unit system subject to imperfect maintenance is analyzed in this chapter. The deterioration of the system follows a bivariate Wiener degradation process. This process is built from the trivariate reduction method by sharing a common noise that describes the dependence between both units. This dependence is measured through the Pearson’s correlation coefficient between both degradation trajectories of the bivariate Wiener process at time t. A maintenance strategy consisting of periodic inspections in which the accumulated deterioration of the system is reduced by a certain quantity is implemented. Some results on the monotonicity of the Pearson’s correlation coefficient in different scenarios are obtained.

Słowa kluczowe

EN

wiener process; Pearson correlation coefficient; bivariate degradation; imperfect maintenance

• Wydawca: Gdynia Maritime University ; Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Safety and Reliability of Systems and Processes
• Rocznik: 2023
• Tom: Summer Safety and Reliability Seminar 2023
• Strony: 7--17
• Opis fizyczny: Bibliogr. 33 poz., wykr.

Twórcy

autor

Bautista Lucía

• University of Extremadura, Cáceres, Spain

• https://orcid.org/0000-0003-3245-4026

autor

Castro Inma T.

• University of Extremadura, Cáceres, Spain

• https://orcid.org/0000-0002-2590-8379

autor

Bérenguer Christophe

• GIPSA-Lab, Université Grenoble Alpes, CNRS, Grenoble INP, Grenoble, France

• https://orcid.org/0000-0003-3000-5390

autor

Gaudoin Olivier

• Laboratoire Jean Kuntzmann, Université Grenoble Alpes, France

• https://orcid.org/0000-0002-4222-8818

autor

Doyen Laurent

• Laboratoire Jean Kuntzmann, Université Grenoble Alpes, France

• https://orcid.org/0000-0002-3788-5696

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).