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題目：Fault Diagnosis for Marine Engine System Based on Complex Network
Cluster Method
作者：Aiping Zhang, Guang Ren, and Baozhu Jia
論文集CA：Advanced Materials Research Vols. 655-657 (2013) pp 801-805
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Accession number:
20130916061971
Title: Fault diagnosis for marine engine system based on complex network cluster method
Authors:    Zhang, Aiping1 ; Ren, Guang1 ; Jia, Baozhu1
Author affiliation: 1 College of Marine Engineering, Dalian Maritime University, Dalian, China
Corresponding author:    Zhang, A. (zhangaiping_86@yahoo.com.cn)
Source title: Advanced Materials Research
Abbreviated source title: Adv. Mater. Res.
Volume: 655-657
Monograph title: Engineering Solutions for Manufacturing Processes
Issue date: 2013
Publication year: 2013
Pages: 801-805
Language: English
ISSN:    10226680
ISBN-13:    9783037856482
Document type: Conference article (CA)
Conference name: 2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012
Conference date: December 22, 2012 - December 23, 2012
Conference location: Beihai, China
Conference code:    95671
Sponsor: University of Wollongong, Australia; Northeastern University, China; University of Science and Technology Beijing; Hong Kong Industrial Technology Research Centre
Publisher: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
Abstract: Fault diagnosis can be achieved by the cluster analysis process. We give a complete similarity measurement method and a cluster criterion function defined by modularity increment in complex network community detection. An agglomerative cluster method is proposed and the diagnosis rules are extracted to fault diagnosis for the marine engine system. Using the samples collected from self-manufactured marine engine room simulator, fault diagnosis simulation experiment is carried out to verify the algorithm performance. The results show that the method is accurate and less time-consuming, and is able to recognize the fault pattern which does not exist in the fault history data. © (2013) Trans Tech Publications, Switzerland.
Number of references: 8
Main heading:    Marine engines
Controlled terms:    Cluster analysis  -  Complex networks  -  Failure analysis  -  Industrial engineering  -  Production engineering
Uncontrolled terms:    Algorithm performance  -  Cluster  -  Cluster method  -  Criterion functions  -  Fault patterns  -  History data  -  Marine engine room simulators  -  Network cluster  -  Network communities  -  Similarity measurements
Classification code:    921 Mathematics -  913.1 Production Engineering -  912.1 Industrial Engineering -  922 Statistical Methods -  723 Computer Software, Data Handling and Applications -  612 Engines -  421 Strength of Building Materials; Mechanical Properties -  722 Computer Systems and Equipment
DOI: 10.4028/www.scientific.net/AMR.655-657.801
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.

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