Analysis of multi-source data for monitoring and control of intelligent technological systems

• Autorzy: Rymarczyk Tomasz , Przysucha Bartosz , Pawlik Paweł

Identyfikatory

DOI

10.15199/48.2020.09.20

Warianty tytułu

PL

Analiza danych wieloźródłowych do monitorowania i kontroli inteligentnych systemów technologicznych

• Języki publikacji: EN

Abstrakty

EN

The article presents a part of cyber-physical system for acquiring, processing and controlling from measurement data. The technology was based on, intelligent measurement sensors, internet of Things as a solution for Industry 4.0. The aspect raised in the article concerns data reduction and selection of an appropriate covariant in the modeling optimization of modeling faults by the Cox model for a specific mechanical system.

PL

Artykuł przedstawia część cyber-fizycznego systemu do zbierania, przetwarzania i sterowania przy pomocy informacji pochodzącej z danych pomiarowych. Technologia ta została oparta na inteligentnych czujnikach pomiarowych z użyciem internetu rzeczy jako rozwiązania dla Przemysłu 4.0. Aspekt poruszony w pracy dotyczy redukcji danych i wyboru odpowiedniego kowariantu w optymalizacji modelowania usterek modelem Coxa dla konkretnego układu mechanicznego.

Słowa kluczowe

EN

Cox model; time to failure prediction; production control; intelligent platform

PL

model Coxa; predykcja uszkodzeń; sterowanie produkcją; inteligentna platforma

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 9
• Strony: 95--98
• Opis fizyczny: Bibliogr. 29 poz., rys.

Twórcy

autor

Rymarczyk Tomasz

• Research & Development Centre Netrix S.A.
• University of Economics and Innovation, Projektowa 4, Lublin, Poland

autor

Przysucha Bartosz

• Lublin University of Technology, 20-618 Lublin 38A Nadbystrzycka

autor

Pawlik Paweł

• AGH University of Science and Technology, Department of Mechanics and Vibroacoustics, 30-059 Kraków, al. A. Mickiewicza 30, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).