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Research on SDG Fault Diagnosis of Ocean Shipping Boiler System Based on Fuzzy Granular Computing Under Data Fusion

By:
Ying Zhu and  Liang Geng  
Open Access
|Sep 2018

Abstract

The research work in this paper belongs to the application of granular computing, graph theory and its application in fault detection and diagnosis. It is a cross cutting and frontier research field in computer science, information science and graph theory. The results of this paper are of great significance to the application of the fault detection and diagnosis of the ocean boilers system. This research combines granular computing theory and signed directed graph, and proposes a new method of fault diagnosis, and applies it to the fault diagnosis of ocean ship boiler system.

DOI: https://doi.org/10.2478/pomr-2018-0079 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 92 - 97
Published on: Sep 10, 2018
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2018 Ying Zhu, Liang Geng, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.