Szczegóły publikacji
Opis bibliograficzny
Maintenance management practices using digital twins framework: oil extraction pumping system case study / Janusz SZPYTKO, Yorlandys SALGADO-DUARTE // IFAC-PapersOnLine [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2405-8963. — 2023 — vol. 56 iss. 2, s. 6612–6617. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 6617, Abstr. — Publikacja dostępna online od: 2023-11-22. — 22nd IFAC world congress : 9–14 July 2023, Yokohama, Japan
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 151414 |
|---|---|
| Data dodania do BaDAP | 2024-01-24 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.ifacol.2023.10.360 |
| Rok publikacji | 2023 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | IFAC-PapersOnLine |
Abstract
Conceptually, the digital twins’ framework is a virtual representation of an object, system, or process. However, one of its significant contributions has been to merge certain features into a single framework: updating the system modeled from real-time data, using simulation, machine learning, and reasoning to aid decision-making. Specifically, in the maintenance management field and its associated decision-making, the contributions have been prominent, and in this paper, we intend to contribute in the same direction. Here, we describe an adaptive digital twin model designed to coordinate maintenance activities in an oil extraction pumping system. The model is a digital representation of the maintenance decision-making process and cognitive management. The adaptability comes from a self-calibration of the distributed operating parameters of the modeled system under study using a machine learning approach with smart layers in the data management filtering and synthesis. Given the nature of a maintenance modeling process, where randomness and planning are merged, the Monte Carlo method emerges as an easy way to convolute the stochastic degradation due to the system operation and the planning of maintenance activities to keep it working with the required standards. This paper discusses the conceptual model implementation for an oil extraction pumping system using the digital twins’ framework and proposes the first exposure of the modeling results in practice as a study case. The modeling results justify the improvements introduced by implementing the digital twins’ framework.