• DocumentCode
    2096698
  • Title

    Underground monitoring power reliable life estimating based on accelerated life testing

  • Author

    Ma Feng-ying ; Zhao Xiu-Xia

  • Author_Institution
    Coll. of Electron. Inf. & Control Eng., Shandong Inst. of Light Ind., Jinan, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    4116
  • Lastpage
    4121
  • Abstract
    In order to assess the reliable life of the DC power supply of the coal mining monitoring system, the accelerated life tests under constant stress were presented based on the exponential distribution. Through a comparative analysis of lots of factors, the temperature was chosen as the constant accelerated stress parameter. With regard to the data statistical analysis, the type-I censoring sample method was put forward. The mathematical model of the coal mining monitoring power supply was established and the average life expectancy curve was obtained under different temperatures through the analysis of experimental data. The results demonstrated that the mathematical model and the average life expectancy curve were fit for the actual very well. It is concluded that the reliability study of the coal mining DC power provides an important foundation for the coal mining monitoring system.
  • Keywords
    coal; exponential distribution; life testing; mining industry; power system measurement; statistical analysis; DC power supply; accelerated life testing; average life expectancy curve; coal mining monitoring system; constant stress; data statistical analysis; exponential distribution; mathematical model; reliable life assessment; type-I censoring sample method; Acceleration; Data mining; Life estimation; Monitoring; Power supplies; Reliability; Stress; Accelerated Life Test; Coal Mining Monitoring System; Coal Mining Safety; Power Reliable Life; Type-I Censoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573025