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Method and data processing device for severity assessment of bearing defects using vibration energy

  • US 9,989,439 B2
  • Filed: 10/14/2016
  • Issued: 06/05/2018
  • Est. Priority Date: 10/20/2015
  • Status: Active Grant
First Claim
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1. A method for detecting a bearing defect severity based on a rotation speed of a bearing and on at least one data sample of sensor data obtained by a sensor configured to measure vibrations of a bearing ring, the method comprises the steps of:

  • a. converting the data sample from time domain to frequency domain by applying a Fourier Transform to obtain a signal frequency spectrum;

    b. determining a defect center frequency of the bearing using the rotation speed;

    c. identifying a predetermined number of frequency peaks of the signal frequency spectrum;

    d. determining a total vibration energy in an overall frequency band including the predetermined number of frequency peaks;

    e. determining, for each of the frequency peaks, a peak energy as a spectral energy of signal components giving rise to the frequency peaks;

    f. calculating a bearing defect spectral energy using the peak energies of the frequency peaks; and

    g. using a ratio of the bearing defect spectral energy and the total vibration energy to assess a severity of the bearing defect.

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