<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Huazhong University of Science and Technology

Polish Maritime Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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...

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

Online veröffentlicht: 10. Sept. 2018

Seitenbereich: 92 - 97

DOI: https://doi.org/10.2478/pomr-2018-0079

Schlüsselwörter
Granular computing, Symbolic digraph, Fault diagnosis, Fuzzy theory

© 2018 Ying Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Online veröffentlicht: 10. Sept. 2018

Seitenbereich: 92 - 97

DOI: https://doi.org/10.2478/pomr-2018-0079

SchlüsselwörterGranular computing, Symbolic digraph, Fault diagnosis, Fuzzy theory

© 2018 Ying Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Granular computing, Symbolic digraph, Fault diagnosis, Fuzzy theory