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Accession number:       
15247395
        Title:        Study on fault diagnosis of ship power system based on multi-source information fusion technology
        Authors:        Lei Liu1 Email author liuleitmc@163.com; Xiuqiang Li2 Email author lixiuq@163.com
        Author affiliation:        1 Tianjin Maritime Coll., Tianjin, China
                2 Tianjin Univ. of Technol., Tianjin, China
        Source title:        Applied Mechanics and Materials
        Abbreviated source title:        Appl. Mech. Mater. (Switzerland)
        Volume:        644-650
        Publication date:        2014
        Pages:        3726-9
        Language:        English
        ISSN:        1660-9336
        Document type:        Journal article (JA)
        Publisher:        Trans Tech Publications
        Country of publication:        Switzerland
        Material Identity Number:        GR26-2015-063
        Abstract:        This paper firstly establishes a mathematical model of ship power system, and then analyzes the characteristics and common faults of ship power system. D-S evidence theory method is used on research of common faults of the ship power system, to enhance the pertinence of fault diagnosis. By using multi-source information fusion diagnosis, the need for quantities of electrical data is reduced, and, it can effectively reduce the impact of protection or switch malfunction on the fault diagnosis of ship power system and thus improve the accuracy of diagnosis.
        Number of references:        6
        Inspec controlled terms:        electrical maintenance - fault diagnosis - marine power systems - power engineering computing - power system reliability - uncertainty handling
        Uncontrolled terms:        fault diagnosis - ship power system - multisource information fusion technology - D-S evidence theory method - switch malfunction
        Inspec classification codes:        B8520 Transportation - B8110 Power systems - B0170N Reliability - B0160 Plant engineering, maintenance and safety - C7410B Power engineering computing - C6170K Knowledge engineering techniques
        Treatment:        Practical (PRA); Theoretical or Mathematical (THR)
        Discipline:        Electrical/Electronic engineering (B); Computers/Control engineering (C)
        DOI:        10.4028/www.scientific.net/AMM.644-650.3726
        IPC Code:        G06F15/18       
SECTION G PHYSICS
COMPUTING; CALCULATING; COUNTING score computers for games , , ; combinations of writing implements with computing devices
ELECTRIC DIGITAL DATA PROCESSING computers in which a part of the computation is effected hydraulically or pneumatically , optically ; self-contained input or output peripheral equipment ; computer...
Digital computers in general details ; Data processing equipment in general neural networks for image data processing
in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines adaptive control systems
                           
                 G06N5/04       
SECTION G PHYSICS
COMPUTING; CALCULATING; COUNTING score computers for games , , ; combinations of writing implements with computing devices
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 7
Computer systems utilizing knowledge based models 7
Inference methods or devices 7
                           
        Database:        Inspec
                Copyright 2015, The Institution of Engineering and Technology

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