Research on intelligent diagnosis method for large-scale ship engine fault in non-deterministic environment

• Autorzy: Feng D. , Li Y.

Identyfikatory

DOI

10.1515/pomr-2017-0123

• Języki publikacji: EN

Abstrakty

EN

Aiming at the problem of inaccurate and time-consuming of the fault diagnosis method for large-scale ship engine, an intelligent diagnosis method for large-scale ship engine fault in non-deterministic environment based on neural network is proposed. First, the possible fault of the engine was analyzed, and the downtime fault of large-scale ship engine and the main fault mode were identified. On this basis, the fault diagnosis model for large-scale ship engine based on neural network is established, and the intelligent diagnosis of engine fault is completed. The experiment proved that the proposed method has high diagnostic accuracy, engine fault diagnosis takes only about 3s, with a higher use value.

Słowa kluczowe

EN

non-determinism; large-scale ship engine; fault intelligent diagnosis

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2017
• Tom: S 3
• Strony: 200--206
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Feng D.

• School of Computer Science and Technology Wuhan University of Technology Wuhan 430070 CHINA
• College of Computer and Information Engineering Nanyang Institute of Technology Nanyang 473004 CHINA

autor

Li Y.

• College of Computer and Information Engineering, Nanyang Institute of Technology, Nanyang, 473004, China

Bibliografia

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Uwagi

PL

Bibliografia rozpoczyna się od nr 3 - brak dwóch cytowań. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).