• DocumentCode
    2416668
  • Title

    Induction motor condition monitoring using industrial wireless sensor networks

  • Author

    Hou, Liqun ; Bergmann, Neil W.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    An induction motor condition monitoring system using industrial wireless sensor networks (IWSNs) with and without on-sensor data processing are described and compared. The prototype system has been implemented and validated on a single phase induction motor in the laboratory. On-sensor data processing is explored to alleviate the contradictions between the higher performance requirements of IWSNs such as higher sample rate and fast transmission rate, and the resource constrained characteristic of IWSNs nodes, such as the limited data rate and battery energy. The experimental results and motor stator current waveforms on different working conditions are given. The test, comparison and analysis about data transmission rate, energy consumption and node lifetime for on-sensor data processing and direct raw data transmission are also presented.
  • Keywords
    condition monitoring; induction motors; wireless sensor networks; IWSN node; battery energy consumption; direct raw data transmission; fast transmission rate; induction motor condition monitoring; industrial wireless sensor networks; motor stator current waveforms; on-sensor data processing; resource constrained characteristic; single phase induction motor; Data communication; Data processing; Induction motors; Monitoring; Stators; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4244-7174-4
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2010.5706739
  • Filename
    5706739