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Testability Modelling and Optimization Technology of Ship Electrical Equipment Based on Multi-Signal Flow Diagram
Author(s) -
Di Peng,
Yang Cheng,
Pan Sun,
Xiaotong Fang,
Wei Zhan,
Gang Yang
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/2/022057
Subject(s) - testability , signal flow graph , automation , range (aeronautics) , engineering , fault (geology) , point (geometry) , computer science , reliability engineering , control engineering , mechanical engineering , electrical engineering , aerospace engineering , mathematics , geometry , seismology , geology
With the development of ship power systems, the degree of integration, complexity and automation of ship generators has increased significantly, which places higher requirements on its testability. The marine generator is a complex electromechanical system with multiple disciplines including electricity, magnetism, force, heat, and mechanics. Its main features include: various types of fault modes, a wide range of faults, and many types of fault features. Therefore, compared with electronic products, the testability modelling and optimization methods of marine generators are very different. First of all, this paper sorts out 11 typical failure modes of marine generators. Then, analyse the failure characteristics of each failure mode and set up 17 test points initially. Based on this, a multi-signal flow graph model is constructed, and the test point is optimized based on the correlation model. By comparing and analysing the test point optimization results, the feasibility and effectiveness of the proposed method are verified.

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