• DocumentCode
    2109358
  • Title

    Diagnosis of industrial systems driven by electrical machines with a low cost platform

  • Author

    Munteanu, Radu ; Moga, Daniel ; Petreus, Dorin ; Stroia, Nicoleta ; Barabas, Zsolt ; Hrebenciuc, Florin

  • Author_Institution
    Fac. of Electr. Eng., Tech. Univ. of Cluj- Napoca, Cluj-Napoca, Romania
  • fYear
    2011
  • fDate
    5-8 Sept. 2011
  • Firstpage
    535
  • Lastpage
    541
  • Abstract
    A low cost hardware platform consisting of a measurement system, a communication system and a data processing system is presented. Wired and wireless sensors are developed for supporting motor current signature analysis (MCSA), vibration signature analysis (VSA) and operational temperature monitoring. A “plug and play” software application is implemented for allowing remote computers to share this sensor data using OPC technology. Using Matlab as an OPC client, time-domain and frequency-domain signal processing techniques are used in order to determine the signatures associated with faults of locally or remote operating electrical machines.
  • Keywords
    electric machines; fault diagnosis; power engineering computing; sensors; signal processing; vibration measurement; MCSA; OPC client; OPC technology; electrical machines; frequency-domain signal processing; industrial systems diagnosis; low cost platform; remote operating electrical machines; time-domain signal processing techniques; vibration measurement; vibration signature analysis; Monitoring; Servers; Temperature sensors; Universal Serial Bus; Vibrations; Wireless communication; Electric machines; Fault diagnosis; Sensor systems; Vibration measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on
  • Conference_Location
    Bologna
  • Print_ISBN
    978-1-4244-9301-2
  • Electronic_ISBN
    978-1-4244-9302-9
  • Type

    conf

  • DOI
    10.1109/DEMPED.2011.6063675
  • Filename
    6063675