• DocumentCode
    3666889
  • Title

    Information collecting of PHM and task-based test modeling of warship product

  • Author

    Hong Liang;Xiaobai Liu;Xingxing Zhang

  • Author_Institution
    Shanghai Department, China Ship Development and Design Center, Shanghai, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1752
  • Lastpage
    1756
  • Abstract
    In order to improve the testability design standards of warship product, the 4 information collecting methods of fault diagnosis and prediction for all levels warship product were proposed based on the research of PHM application technology, including information collecting of product function status, information collecting of product anomalies, information collecting of product working environment and information collecting of preset injury scale. Then, the applicability of these 4 methods were analyzed and the results show that PHM is still a developing technology and there is so much disadvantage waiting for be improved while using the PHM. Simultaneously, a task-based test modeling method of warship product was proposed in this paper, which could solve the fault D-matrix model by the task-based graphical model of warship product with the direct analysis method or first-order correlation column vector method, as to provide a technical basis of establishing the product fault tree. At last, a modeling example based on the typical task of surface warship´s diesel generator set was given, and the results show that this test modeling method has intuitive and efficient fault diagnosis capability so that it could be a new idea for the testability application research of warship product.
  • Keywords
    "Prognostics and health management","Fault diagnosis","Predictive models","Generators","Graphical models","Maintenance engineering","Injuries"
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8728-3
  • Type

    conf

  • DOI
    10.1109/CYBER.2015.7288212
  • Filename
    7288212