• DocumentCode
    2108623
  • Title

    Research on in power smart sensor base on LSM

  • Author

    Shou-qiang, Chen ; Chuan, Liu ; Jie, Qian

  • Author_Institution
    School of Mechanical Engineering And Automation, Xihua University, XHU, Chengdu, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    498
  • Lastpage
    500
  • 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
    Decision support systems; component; signal processing; smart sensor; voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5689660
  • Filename
    5689660