期刊论文详细信息
Polish maritime research | |
Research on SDG Fault Diagnosis of Ocean Shipping Boiler System Based on Fuzzy Granular Computing Under Data Fusion | |
Liang Geng^21  Ying Zhu^1,22  | |
[1] 430068, Wuhan, China^2;430074, Wuhan, China^1 | |
关键词: Granular computing; Symbolic digraph; Fault diagnosis; Fuzzy theory; | |
DOI : 10.2478/pomr-2018-0079 | |
学科分类:工程和技术(综合) | |
来源: Politechnika Gdanska * Wydzial Oceanotechniki i Okretownictwa | |
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201910257710401ZK.pdf | 3380KB | download |