• DocumentCode
    1795441
  • Title

    Life estimation method of low-power sampling system

  • Author

    Xiangeng Liang ; Shaoping Wang ; Wei Hong ; Xingjian Wang

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    2753
  • Lastpage
    2756
  • Abstract
    With the development of integrated circuits, the power consumption problem attracted widespread concern. Researchers hope to reduce the circuit power consumption. The method of low-power circuit design gets a wide range of applications. The low-power sampling systems have lots of advantages, such as simple structure, low power consumption, long using life. In order to guarantee low-power sampling system to work properly, we must be able to estimate the power consumption of the system and forecast the life of system. Now, most system-level power estimation methods are modeling and simulation. The modeling process of this method is cumbersome and requires a lot of simulation vectors, and simulation time is long. This method is not suitable for simple-structure low-power sampling systems. We put forward a power estimate consumption method, in which system is highly abstract and then mathematical model of power consumption is established. By the data from accelerated life test, we can fit the parameters of the model, in this way we can estimate the life expectancy of the system in a short time.
  • Keywords
    circuit simulation; integrated circuit design; life testing; low-power electronics; power consumption; accelerated life test; circuit power consumption; integrated circuits; life estimation method; life expectancy; low-power circuit design; low-power sampling system; power estimate consumption method; simulation time; simulation vectors; system-level power estimation methods; Educational institutions; Integrated circuit modeling; Life estimation; Mathematical model; Power demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007600
  • Filename
    7007600