Research on SDG Fault Diagnosis of Ocean Shipping Boiler System Based on Fuzzy Granular Computing Under Data Fusion-Reference-Cited by-同舟云学术

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

Published:2018-08-01 Issue:s2 Volume:25 Page:92-97
ISSN:2083-7429
Container-title:Polish Maritime Research
language:en
Short-container-title:

Author:

Zhu Ying¹²,Geng Liang²

Affiliation:

1. School of Automation , Huazhong University of Science and Technology , Wuhan 430074 , China

2. School of Science , Hubei University of Technology , Wuhan 430068 , China

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Ocean Engineering

Link

https://www.sciendo.com/pdf/10.2478/pomr-2018-0079

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