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Machine Fault Prediction Based on Analysis of Periodic Information in a Signal

  • US 20180011065A1
  • Filed: 09/07/2017
  • Published: 01/11/2018
  • Est. Priority Date: 07/02/2013
  • Status: Active Grant
First Claim
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1. An apparatus for acquiring and analyzing periodic information in vibration associated with a machine, the apparatus comprising:

  • a vibration sensor securely attached to the machine in a location providing a solid transmission path from a source of vibration within the machine to the vibration sensor, the vibration sensor for generating a vibration signal;

    a data collector in communication with the vibration sensor, the data collector configured to receive and condition the vibration signal, the data collector comprising;

    an analog-to-digital converter for converting the vibration signal to digital vibration data; and

    memory for buffering the digital vibration data; and

    a periodic information processor operable to receive the digital vibration data, the periodic information processor configured to execute operational instructions for processing the digital vibration data, the operational instructions comprising instructions which, when executed;

    generate an original waveform based on the digital vibration data;

    perform an autocorrelation function on the original waveform to generate an autocorrelation waveform;

    perform a Fast Fourier Transform on the original waveform to generate an original spectrum;

    perform a Fast Fourier Transform on the autocorrelation waveform to generate an autocorrelation spectrum;

    compile a first list of amplitude peaks from the original spectrum;

    compile a second list of amplitude peaks from the autocorrelation spectrum;

    match autocorrelation amplitude peaks in the second list with original amplitude peaks in the first list;

    add to a peak list each original amplitude peak that matches an autocorrelation amplitude peak;

    as original amplitude peaks are added to the peak list, determine a total amount of peak energy associated with the original amplitude peaks in the peak list; and

    after the total amount of peak energy associated with the original amplitude peaks in the peak list exceeds a predetermined threshold, generate a periodic information plot comprising the original amplitude peaks in the peak list.

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