Application of time-frequency distributions in diagnostic signal processing problems: a case study

• Autorzy: Katunin A.

Warianty tytułu

PL

Zastosowanie dystrybucji czasowo-częstotliwościowych w diagnostycznym przetwarzaniu sygnałów: studium przypadku

• Języki publikacji: EN

Abstrakty

EN

In this paper, the author analyzed an applicability of selected types of time-frequency distributions that belong to Cohen’s class and their reassignments for signals similar to those obtained during machinery diagnostics. At the first step of performed studies a synthetic multicomponent signal that contains both stationary and non-stationary components was analyzed using algorithms based on various time-frequency distributions. This allows for evaluating effectiveness of identification of particular components by applied time-frequency distributions and selecting a group of the most effective algorithms. At the second step, the selected time-frequency distributions were applied for analysis of signals acquired during diagnosis of rolling bearings in order to verify the effectiveness of identification of components responsible for a priori known faults occurred in bearings.

PL

W niniejszym artykule autor analizuje stosowalność wybranych typów dystrybucji czasowoczęstotliwościowych, które należą do klasy Cohena i ich wersji redefiniowanych dla sygnałów zbliżonych do takich, które są otrzymywane podczas diagnostyki maszyn. W pierwszym kroku przeprowadzonych badań syntetyczny wieloskładowy sygnał, zawierający zarówno stacjonarne jak i niestacjonarne składowe, był analizowany z wykorzystaniem algorytmów opartych na różnych dystrybucjach czasowoczęstotliwościowych. Pozwoliło to na ocenę efektywności identyfikacji poszczególnych składowych przez zastosowane dystrybucje czasowo-częstotliwościowe oraz wybór grupy najefektywniejszych algorytmów. W drugim kroku wybrane dystrybucje czasowo-częstotliwościowe zostały zastosowane do analizy sygnałów pozyskanych podczas diagnostyki łożysk tocznych w celu weryfikacji efektywności identyfikacji składowych odpowiedzialnych za wystąpienie uszkodzeń w łożyskach, znanych a priori.

Słowa kluczowe

EN

time-frequency distributions; signal processing; multicomponent identification; bearing fault; diagnosis

PL

dystrybucja czasowo-częstotliwościowa; przetwarzanie sygnałów; identyfikacja wieloskładowa; diagnostyka; łożysko toczne

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2016
• Tom: Vol. 17, No. 2
• Strony: 95--103
• Opis fizyczny: Bibliogr. 35 poz., rys.

Twórcy

autor

Katunin A.

• Institute of Fundamentals of Machinery Design, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.