RESEARCH ON SDG FAULT DIAGNOSIS OF OCEAN SHIPPING BOILER SYSTEM BASED ON FUZZY GRANULAR COMPUTING UNDER DATA FUSION
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.
Keywords:
Granular computing, Symbolic digraph, Fault diagnosis, Fuzzy theoryDetails
- Issue
- Vol. 25 No. S2(98) (2018)
- Section
- Latest Articles
- Published
- 10-09-2018
- DOI:
- https://doi.org/10.2478/pomr-2018-0079
- Licencja:
-
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Open Access License
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