2035 - Machinery Health PeakVue™ Analysis and Autocorrelation
$2,620 (price per student; taxes extra)
8am MST - 4pm MST (approximate end times)
9 Students (registration is first come, first serve)
This 3-day course provides insight into advanced functionality of Emerson's unique PeakVueTM technology and autocorrelation.
Machine vibrations generate both macro and microscopic vibrations, and microscopic vibrations generate stress waves that have frequency ranges determined by the mass of the impacting object. The properties of these stress waves will be explained. The autocorrelation section of the course will teach the power of the autocorrelation coefficient function for the analysis of vibration induced time wave form data. The autocorrelation function data generally are computed from the same time wave form data used to compute the spectrum. The strengths of the autocorrelation data are complimentary to the strengths of the spectral data.
This course makes use of both case studies from real-life examples of common faults and live demonstrations illustrating specific mounting procedures to reliably detect certain faults. The difference between PeakVue techniques and demodulation will also be demonstrated.
Proper PeakVueTM set-ups for all speeds (as low as 1 rpm)
Sensor selection and sensor mounting
Setting alarm levels
Choosing trend parameters
Analyzing PeakVueTM Spectra and waveforms
Uses of the circular waveform plot
Introduce the autocorrelation coefficient
Demonstrate the computation of the autocorrelation coefficient data from the time wave form data
Highlight the strengths of the autocorrelation coefficient function data/spectra data
Demonstrate the use of the autocorrelation coefficient data as a diagnostic tool to support the spectra data for vibration analysis through several case studies
Identify unique patterns of the autocorrelation function data for certain classes of bearing faults, gearing faults, etc.
Students should be familiar with vibration data collection and analysis techniques and the use of AMS Machinery Manager Software