• DocumentCode
    3272612
  • Title

    Research on in power smart sensor base on LSM

  • Author

    Chen Shou-qiang ; Liu chuan ; Jie, Qian

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Xihua Univ., Chengdu, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    1632
  • Lastpage
    1634
  • Abstract
    This paper discusses the methods of error minimum mean voltage in the power smart sensor component of the application. Proposed and analyzed and compared to obtain the power smart sensor is difficult to predict important parameters of voltage RMS power, the initial phase angle of the several methods are methods that minimize the error on the circuit performance due to reduced demand. And can effectively simplify the system and reduce costs. Simulation results show that the use of new methods for voltage RMS in the time available to reduce the sampling frequency, the amplitude of the signal in the initial phase angle disturbance requirement from less than 5% of the signal amplitude can be relaxed to 15% of the signal amplitude.
  • Keywords
    intelligent sensors; least mean squares methods; signal sampling; LMS method; cost reduction; error minimum mean voltage method; phase angle disturbance; power smart sensor; sampling frequency; signal amplitude; signal processing; voltage RMS power; Decision support systems; component; signal processing; smart sensor; voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5777224
  • Filename
    5777224