• DocumentCode
    187404
  • Title

    Performance assessment of vibration sensing using smartdevices

  • Author

    De Dominicis, C.M. ; Depari, A. ; Flammini, A. ; Sisinni, Emiliano ; Fasanotti, Luca ; Tomasini, Marco

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Brescia, Brescia, Italy
  • fYear
    2014
  • fDate
    12-15 May 2014
  • Firstpage
    1617
  • Lastpage
    1622
  • Abstract
    Machine Condition Monitoring (MCM) is become crucial in all industrial processes to achieve high reliability, reduced man power and scheduled maintenance. The cost reduction of diagnostic tool allows for on line testing, and user-friendly interfaces minimize requirements about technician expertise. For all these reasons, the use of smart devices (including smartphone, tablets, PDA...) has been suggested in the past to implement handheld MCM tools, exploiting embedded accelerometer(s). However, there are no works about performance assessment of vibration analysis performed using smartdevice embedded sensors. In this work, authors have realized experimental testbeds mimicking real-world scenarios in order to overcome this lack. Experimental results show performance comparable with stand-alone sensors in the low frequency range; however, limitations due to the operating system must be carefully considered with wideband excitation.
  • Keywords
    accelerometers; computerised monitoring; condition monitoring; cost reduction; intelligent sensors; machine tools; microsensors; user interfaces; vibration measurement; MEMS; cost reduction; diagnostic tool; embedded accelerometer; handheld MCM tools; industrial process; machine condition monitoring; online testing; smart device embedded sensor; user friendly interface; vibration sensing performance assessment; wideband excitation; Acceleration; Accelerometers; Androids; Humanoid robots; Sensors; Vibrations; Wideband; MEMS accelerometer; smart devices; smart sensing; vibration analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International
  • Conference_Location
    Montevideo
  • Type

    conf

  • DOI
    10.1109/I2MTC.2014.6861019
  • Filename
    6861019