Learn how to gain early insight into the health of critical assets at Spartans PeakVueâ„¢ and Autocorrelation Seminar

10 01, 2015 Spartan Controls

Mechanical assets in industry play a critical role within a facility and have a dramatic effect on production. The ability to monitor the health of rotating mechanical assets allows customers to proactively plan for repairs rather than react to unexpected failures and is key to minimizing the risk to critical assets.

Traditionally, vibration data has not been routed to the control room because it required specialized training – and frequently, specialized tools – to extract any information from the data. Emerson’s unique PeakVue™ technology cuts through the complexity of machinery analysis to provide a simple, reliable indication of equipment health via a single trend. This technology can augment existing vibration analysis programs and provides a much better indicator of overall asset health on pumps, fans, motors, or any other type of rolling element bearing machine.

Gain insight into the advanced functionality of Emerson’s unique PeakVue™ technology and Autocorrelation with Spartan’s three day seminar. This seminar will explore the properties of the stress waves created by machine vibrations and the power of the autocorrelation coefficient function for the analysis of vibration induced time wave form data.

Perfect for anyone who is responsible for the reliability of critical assets, this seminar makes use of case studies from real-life examples of common faults and live demonstrations, illustrating specific mounting procedures to reliably detect certain faults. Additionally, the difference between PeakVue™ technology techniques and demodulation will be demonstrated.

Topics Include:

  • Proper PeakVue™ technology set-ups for all speeds (as low as 1rpm)
  • Sensor selection and sensor mounting
  • Setting alarm levels
  • Choosing trend parameters
  • Analyzing PeakVue™ technology spectra and waveforms
  • Uses of the circular waveform plot
  • Introduce the autocorrelation coefficient
  • Demonstrate that computation of the autocorrelation coefficient data from the time wave form data.
  • Highlight the strengths of the autocorrelation coefficient function data relative to spectra data.
  • Demonstrate the use of the autocorrelation coefficient data as a diagnostic tool to support the spectra data for vibration analysis through several cast studies
  • Identify unique patters of the autocorrelation function data for certain classes of bearing faults, gearing faults, etc.

Seminar Details

When: October 27-29, 2015 9 a.m. to 4 p.m.
Where: Spartan Controls Prince George
Cost: $1,900 CDN/person (Lunch, snack and drinks will be provided)
How to register: RSVP by Friday, October 23, 2015 to kaszas.tracey@spartancontrols.com

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