• DocumentCode
    3662489
  • Title

    Cloud-based framework for advanced maintenance tasks

  • Author

    R. J. Ferreira;José Machado;Harry Rose

  • Author_Institution
    Mech Eng Department, MEtRICs, Campus of Azuré
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1324
  • Lastpage
    1329
  • Abstract
    Condition Based Maintenance is a field where a lot of studies have been developed in order to improve performance when intended to assure quality of maintenance of an equipment. This is as much important as bigger is the impact of possible injuries for people, or concerning high economic losses, due to malfunctions, failures and/or faults. Predictive maintenance or condition-based maintenance focuses on identifying failures before they occur by incorporating inspections of equipment to determine the system condition. From all the existing methods, vibration analysis is by far the most used technique in condition monitoring. This paper presents a review and implementation, based on diagnosis, of a variety of vibration feature extraction techniques that have been used with success when applied to rotating machinery.
  • Keywords
    "Vibrations","Maintenance engineering","Frequency modulation","Fault diagnosis","Computer architecture","Shafts","Noise"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2015 IEEE 13th International Conference on
  • ISSN
    1935-4576
  • Electronic_ISBN
    2378-363X
  • Type

    conf

  • DOI
    10.1109/INDIN.2015.7281927
  • Filename
    7281927