Vibration Condition Monitoring

PROTOR provides a complete hardware and software solution for vibration monitoring of rotating machines. Acquisition subsystems monitor the machinery and are networked to a central server. Realtime and historical data can be accessed on the server or remotely via a LAN, WAN or VPN. Data and reports are available in graphical and numerical forms.

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Improve Efficiency, Safety & Costs

  • Improved overall efficiency by increasing machine uptime.
  • Improved safety by decreasing the risk of machine failure.
  • Improved machine health information allows predictive maintenance, avoiding and limiting machine damage.
  • Improved data availability bringing data to your desktop either locally or remotely.
  • Reduced capital costs by extending machine service life.
  • Reduced machine servicing costs by only repairing or replacing those parts that are damaged or worn out.
  • Reduced machine repair costs by recognizing problems before they cause serious damage.
  • Reduced machine downtime by allowing machines to be maintained while in service.
  • Reduced risk of unplanned shutdowns by allowing scheduled maintenance to coincide with production requirements.

Health Information 24/7

A PROTOR system will help detect faults such as
  • Shaft unbalance, shaft rubs & shaft bowing
  • Bearing faults
  • Misalignment
  • Shaft or hub cracking
  • Looseness of rotating elements
  • Casing distortion
  • Whirl problems
  • Balance piston rubs
  • Damaged sealing strips
  • Generator shorts
  • End winding vibrations
  • Blade response
  • Foundation distortion

Information, Warnings & Alarms

PROTOR provides important information such as
  • Bearing performance analysis
  • Examination of critical modes
  • Data comparison at known speeds
  • More reliable trends
  • Ability to set up more accurate limits
  • Examination of blade frequencies
  • FFT processing of run-up/rundowns
  • Historical data storage
  • Better control of machine start-up
  • Statistical reports on historical data

PROTOR Condition Monitoring Case Studies