• DocumentCode
    547272
  • Title

    Development of a web based fault diagnosis instrument system

  • Author

    Chen, Lei ; Han, Jie ; Wang, Liya ; Lei, Wenping ; Chen, Hong

  • Author_Institution
    Sch. of Mech. Eng., Zhengzhou Univ., Zhengzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    609
  • Lastpage
    613
  • Abstract
    All running machines may deteriorate because of abnormal mechanical wear, fatigue crack, poor lubrication and so on. Physical parameters such as vibration, sound, temperature, etc. may vary with its deterioration. In this paper a web based instrument system which can collect data of vibration, temperature, image, radio frequency identification, meter indicator and observed variables was developed for condition monitoring and fault diagnosis. Firstly, the structure and principle of the instrument system was introduced; then the portable instrument based on arm microprocessor and embedded Linux operating system was designed; after that the acquisition of vibration signal and the analysis of the vibration data was discussed; finally the function of application was presented. The developed instrument system provided an effective method for device management, condition monitoring and fault diagnosis. It has good practicability and can be easily incorporated with the enterprise asset management system.
  • Keywords
    Linux; computerised monitoring; condition monitoring; data acquisition; embedded systems; fault diagnosis; microcomputers; portable instruments; radiofrequency identification; vibrations; Web based fault diagnosis instrument system; arm microprocessor; condition monitoring; data acquisition; deterioration; device management; embedded Linux operating system; enterprise asset management system; fatigue crack; lubrication; mechanical wear; meter indicator; portable instrument; radio frequency identification; vibration signal; Acceleration; Databases; Humans; Instruments; Servers; Software; Vibrations; data acquisition; embedded system; fault diagnosis; intelligent instrument; vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952544
  • Filename
    5952544