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Research on Intelligent Diagnosis Method for Large-Scale Ship Engine Fault in Non-Deterministic Environment Cover

Research on Intelligent Diagnosis Method for Large-Scale Ship Engine Fault in Non-Deterministic Environment

By: Donghua Feng and  Yahong Li  
Open Access
|Nov 2017

Abstract

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.

DOI: https://doi.org/10.1515/pomr-2017-0123 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 200 - 206
Published on: Nov 22, 2017
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Donghua Feng, Yahong Li, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.