• DocumentCode
    2471980
  • Title

    Theoretic analysis and numerical simulation of the output characteristic of multilayer inductive wear debris sensor

  • Author

    He, Xiaohua ; Yang, Dingxin ; Hu, Zheng ; Yang, Yongmin

  • Author_Institution
    Lab. of Sci. & Technol. on Integrated Logistics Support, Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Wear is one of the main factors of machine failure, wear failure holds more than 70% of mechanical parts failure. Debris carries a lot of information of running devices. Inductive sensor is wildly used in online detection of oil debris. But most of the former studies are based on the single-layer solenoid model of the inductive sensor. In this paper, the basic principle of the multilayer inductive wear debris sensor is introduced. According to the theory of electromagnetic field the magnetic field along the axis of sensor is presented. Then, the output characteristic model of the debris sensor is proposed. Based on the model, the output characteristic of the inductive debris sensor is numerically simulated with different sensor´s design parameters by using matlab, the theoretic model and numerical simulation can provide more accurate guideline to the parameter optimization for the design of the inductive debris sensor.
  • Keywords
    electromagnetic field theory; failure analysis; inductive sensors; numerical analysis; solenoids; Matlab; electromagnetic field theory; machine failure; mechanical part failure; multilayer inductive wear debris sensor output characteristic; numerical simulation; oil debris; online detection; parameter optimization; single-layer solenoid model; Acceleration; Actuators; Monitoring; Solenoids; Inductive Sensor; multilayer; numerical simulation; theoretic modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228970
  • Filename
    6228970