• DocumentCode
    3763263
  • Title

    Speed condition monitoring of rotating machinery using electrostatic method

  • Author

    Lin Li; Xiaoxin Wang; Hongli Hu; XingyueYang

  • Author_Institution
    State Key Laboratory of Power Equipment and Electrical Insulation, Xi´an Jiaotong University, 710049, China
  • fYear
    2015
  • Firstpage
    345
  • Lastpage
    350
  • Abstract
    Rotational speed monitoring is a critical part in the automatic control system of large generators and centrifugal machine. This article designed a rotational speed measurement system using electrostatic sensors and a correlation signal processing method. Two categories were utilized for the speed measurement-two sensors using cross-correlation method and a single sensor using auto-correlation method. Meanwhile, further signal processing methods were adopted to improve the accuracy of measurement results. Experimental tests were carried out on a laboratory-scale test rig under a rotational speed range from 400r/min to 3800r/min. The results show that the linearity of cross-correlation method and auto-correlation under experimental conditions is 1.53% and 0.52% correspondingly. In the same time, the auto-correlation method has a higher accuracy than cross-correlation method with the relative error lower than 1%.
  • Keywords
    "Sensors","Mathematical model","Electrostatics","Velocity control","Electrostatic measurements","Rotation measurement","Shafts"
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2015 9th International Conference on
  • Electronic_ISBN
    2156-8073
  • Type

    conf

  • DOI
    10.1109/ICSensT.2015.7438420
  • Filename
    7438420