Fuzzy identification of the reliability state of the mine detecting ship propulsion system

• Autorzy: Pająk Michał , Muślewski Łukasz , Landowski Bogdan , Grządziela Andrzej

Identyfikatory

DOI

10.2478/pomr-2019-0007

• Języki publikacji: EN

Abstrakty

EN

The study presents the evaluation and comparative analysis of engine shaft line performance in maritime transport ships of the same type. During its operation, a technical system performs functions for which it was designed. It goes through different states. Dynamic state changes of a rotational system can be identified by means of its vibration measurement. For this purpose, a research was carried out which involved recording vibrations of the analysed rotational systems. The recordings were used for calculating selected characteristics in the time-domain, where one of the most unique is the value of the normalized mutual correlation function. On the basis of the concentration values, the characteristics which unambiguously determine the ability state were selected for further studies. Then an identification method for rotational system non-coaxiality was proposed. The method involves using fuzzy clustering. According to this method the values of input signal characteristics were used to formulate fuzzy clusters of system ability and inability states. The method can be used for identifying the current state of the system. The study presents the results of the application of this method in engine turbine shaft lines of minesweepers, with the rotational system selected as an example. It needs to be noted that the efficiency of identifying the operating state of the system with this method is higher than with other methods described in the literature by authors who deal with this issue. The research results have a significant impact on the evaluation of mechanical properties of the studied objects and directly affect operational states of mechanical systems, including those installed in minesweepers, thus determining their reliability.

Słowa kluczowe

EN

ships; rotational system; mutual correlation; non-coaxiality; fuzzy clusters

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2019
• Tom: nr 1
• Strony: 55--64
• Opis fizyczny: Bibliogr. 59 poz., rys., tab.

Twórcy

autor

Pająk Michał

• University of Technology and Humanities Stasieckiego 54 26-600 Radom Poland

autor

Muślewski Łukasz

• University of Science and Technology Kaliskiego 7 85-796 Bydgoszcz Poland

autor

Landowski Bogdan

• University of Science and Technology Kaliskiego 7 85-796 Bydgoszcz Poland

autor

Grządziela Andrzej

• Polish Naval Academy Śmidowicza 69 81-103 Gdynia Poland

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).