Method and device for monitoring a bearing equipping a rotary device

Patent metadata

Field	Value
Publication number	US-11333576-B2
Application number	US-201816958419-A
Country	US
Kind code	B2
Filing date	Dec 19, 2018
Priority date	Dec 28, 2017
Publication date	May 17, 2022
Grant date	May 17, 2022

Abstract

A method includes obtaining a vibration signal acquired by an accelerometer sensor; eliminating a deterministic component of the vibration signal; obtaining, for a determined defect, a characteristic theoretical frequency of this defect and a determined maximum deviation around this theoretical frequency; computing, as a function of a cyclic frequency, an integrated cyclic coherence of the processed vibration signal; estimating an actual frequency of the defect on the basis of the integrated cyclic coherence, of the theoretical frequency of the defect and of the maximum deviation; computing a diagnostic indicator of the defect by summing M integrated cyclic coherences of the vibration signal evaluated as M cyclic frequencies respectively equal to M harmonics of the estimated actual frequency of the defect; comparing the diagnostic indicator of the defect with a predetermined threshold, and in the event of it being exceeded, detecting the defect on the bearing.

First claim

The invention claimed is:

1. A method for monitoring a bearing equipping a rotary device, comprising:
obtaining a vibration signal acquired by an accelerometer sensor, said vibration signal containing a vibrational signature of the bearing;
processing the vibration signal comprising elimination of a deterministic component of the vibration signal;
obtaining, for a determined defect liable to affect the bearing, a characteristic theoretical frequency of the defect and a determined maximum deviation around the theoretical frequency;
computing, as a function of a cyclic frequency, an integrated cyclic coherence of the processed vibration signal averaged over a predetermined band of spectral frequencies;
estimating an actual frequency of the defect on a basis of the integrated cyclic coherence, of the characteristic theoretical frequency of the defect and of the determined maximum deviation around this theoretical frequency;
computing a diagnostic indicator of the defect by summing an integer number M of integrated cyclic coherences of the vibration signal evaluated as M cyclic frequencies respectively equal to M harmonics of the estimated actual frequency of the defect;
comparing the diagnostic indicator of the defect with a predetermined threshold for the defect; and
in an event of the threshold being exceeded by the diagnostic indicator, detecting the defect on the bearing.

2. The monitoring method as claimed in claim 1 , wherein the processing comprises spectral whitening of the vibration signal.

3. The monitoring method as claimed in claim 1 , wherein the computing the integrated cyclic coherence comprises:
estimating, for a given cyclic frequency, the cyclic correlation of the processed vibration signal as a function of a spectral frequency;
computing, on a basis of the estimated cyclic correlation, the cyclic coherence of the processed vibration signal for said given cyclic frequency as a function of the spectral frequency; and
averaging, over said predetermined band of spectral frequencies, a square of an amplitude of the cyclic coherence of the processed vibration signal computed for said given cyclic frequency, a result of said average supplying the integrated cyclic coherence for said given cyclic frequency.

4. The monitoring method as claimed in claim 3 , wherein the cyclic correlation of the processed vibration signal is estimated with a Welch estimator.

5. The monitoring method as claimed in claim 1 , wherein the estimating the actual frequency of the defect comprises computing of the integrated cyclic coherence for a plurality of cyclic frequencies contained in an interval defined between the characteristic theoretical frequency of the defect minus the maximum deviation defined for the theoretical frequency and the characteristic theoretical frequency of the defect plus the maximum deviation defined for the theoretical frequency, the actual frequency of the defect corresponding to the cyclic frequency among said plurality of cyclic frequencies for which the integrated cyclic coherence is at a maximum.

6. The monitoring method as claimed in claim 5 , wherein two consecutive cyclic frequencies of said plurality of cyclic frequencies, respectively denoted α and α+Δα, are chosen such that a ratio α/dα is an integer number.

7. The monitoring method as claimed in claim 1 , wherein the integer number M is contained between 6 and 10.

8. The monitoring method as claimed in claim 1 , further comprising giving notification of said defect comprising at least one item of information from among at least one of:
an identification of the defective bearing;
an indication of a defective element on said bearing; and
an indication of a severity of the defect detected on the bearing.

9. The monitoring method as claimed in claim 1 , wherein the vibration signal has been acquired by the accelerometer sensor in a stationary rating of the rotary device.

10. The monitoring method as claimed in claim 1 , wherein the cyclic frequency is normalized with respect to a rotation frequency of the bearing.

11. A non-transitory information medium readable by a computer on which is stored a computer program including instructions for executing the method as claimed in claim 1 , when the program is executed by a processor.

12. A device for monitoring a bearing equipping a rotary device, said monitoring device comprising:
at least one memory;
an interface for communicating with an accelerometer sensor; and
a processor configured to:
obtain a vibration signal acquired by the accelerometer sensor, said vibration signal comprising a vibrational signature of the bearing;
process the vibration signal including eliminating a deterministic component of the vibration signal;
obtain for a determined defect liable to affect the bearing, a characteristic theoretical frequency of the defect and a determined maximum deviation around the theoretical frequency;
compute, as a function of a cyclic frequency, an integrated cyclic coherence of the processed vibration signal averaged over a predetermined band of spectral frequencies;
estimate an actual frequency of the defect on a basis of the integrated cyclic coherence, of the characteristic theoretical frequency of the detect and of the determined maximum deviation around the theoretical frequency;
compute a diagnostic indicator of the defect by summing an integer number M of integrated cyclic coherences of the vibration signal evaluated as M cyclic frequencies respectively equal to M harmonics of the estimated actual frequency of the detect; and
compare the diagnostic indicator of the defect with a predetermined threshold for this defect and detect the defect on the bearing in an event of the threshold being exceeded by the diagnostic indicator.

13. The monitoring device as claimed in claim 12 , wherein the bearing is a ball bearing or a roller bearing and the rotary device is installed in an aircraft.

14. An aircraft engine comprising at least one bearing equipping a rotary device of the aircraft engine, at least one accelerometer sensor able to acquire a vibration signal comprising a vibrational signature of said bearing, and a device for monitoring the bearing as claimed in claim 12 .

Assignees

• Safran

Inventors

• Abboud Dany
• El Badaoui Mohammed

Classifications

• G01M13/045 Primary

  Acoustic or vibration analysis · CPC title

• G01M15/12

  by monitoring vibrations · CPC title

• G01M15/14

  Testing gas-turbine engines or jet-propulsion engines · CPC title

• G01H1/003

  of rotating machines (G01H1/10 takes precedence) · CPC title