Method and Device for Categorizing Damage to a Roller Bearing

• US 20080195333A1
• Filed: 03/31/2006
• Published: 08/14/2008
• Est. Priority Date: 04/04/2005
• Status: Abandoned Application

• Current Assignee: Dietrich Behr, Jens Strackeljan
• Original Assignee: Dietrich Behr, Jens Strackeljan
• Inventors: Strackeljan, Jens, Behr, Dietrich
• Application Number:
  US11/909,989
• Publication Number:
  US 20080195333A1
• Time in Patent Office: Days
• US Class Current: 702/56
• CPC Class Codes: F16C 19/50 Other types of ball or roller bearings
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis

Abstract

The invention relates to a method and a test and analytical device for categorizing antifriction bearing damages. The invention is characterized in that analysis preceding categorization comprises statistically evaluating the jerk of a structure-borne noise signal to which the movement of the antifriction bearing to be inspected contributes.

Claims

1. A method for categorizing damage to a roller bearing integrated in a device that includes the steps:

Record a signal that represents the structure-borne vibrations of the device,

Analyze the signal in terms of at least one specified signal characteristic,

Assign the signal to a predetermined damage category based on the results of the analysis,

wherein

the analysis includes a statistical evaluation of an analytical function of the signal derived from the recorded signal in order to determine the characteristic value of the specified signal characteristics, the analytical function being a derivative of the signal that is the jerk of the structure-borne noise represented, or it is a higher derivative.

2. The method as recited in claim 1,

wherein

a mean of analytical function values at the points of local extreme values of a velocity function derived from the recorded signal is a specified signal characteristic, the velocity function representing the velocity of the structure-borne vibration represented by the recorded signal.

3. The method as recited in claim 1,

wherein

a frequency distribution of analytical function values at the points of local extreme values of a velocity function derived from the recorded signal is a specified signal characteristic, the velocity function representing the velocity of the structure-borne vibration represented by the recorded signal.

4. The method as recited in claim 2,

wherein

a fluctuation of distances between adjacent points of local extreme values of the velocity function is an additional specified signal characteristic.

5. The method as recited in claim 2,

wherein

a frequency distribution of values of distances between adjacent points of local extreme values of the velocity function is an additional specified signal characteristic.

6. The method as recited in claim 2,

wherein

the number of local extreme values of the velocity function with absolute values above a specified threshold value is an additional specified signal characteristic.

7. The method as recited in claim 6,

wherein,

the velocity function is normalized before the absolute values are determined.

8. The method as recited in claim 7,

wherein,

the normalization is carried out using the effective value of the velocity function.

9. The method as recited in claim 1,

wherein

the analysis is carried out based on a plurality of signal characteristics, and the signal is assigned to a damage category in a multidimensional characteristic space based on a defined metric;

the signal to be assigned is positioned in the characteristic space based on its characteristic values of the signal characteristics that define the characteristic space, and the distance from points or areas in the multidimensional space that represent predefined categories of damage is calculated.

10. The method as recited in claim 9,

wherein

the signal is assigned to the damage category that is the minimum distance away in the characteristic space per the defined metric.

11. The method as recited in claim 10,

wherein

if a minimum distance value may not be determined unambiguously, at least one characteristic dimension is added to the characteristic space, and the signal is classified once more and the distance is redetermined.

12. The method as recited in claim 10,

wherein

if a minimum distance value may not be determined unambiguously, the metric on which it is based is changed, and the distance of the signal is redetermined.

14. The method as recited in claim 1,

wherein

the signal that is recorded represents the acceleration of the structure-borne vibration.

15. The method as recited in claim 1,

wherein

the signal that is recorded represents the deflection of the structure-borne vibration.

13. The method as recited in claim

wherein

the signal that is recorded represents the velocity of the structure-borne vibration.

16. A measuring and analytical device for categorizing damage to a roller bearing integrated in a device that includes:

A sensor (20) for recording a signal that represents the structure-borne vibrations in the device (30),

A digital data memory (13) for storing the recorded signal,

A digital arithmetic unit (12) for processing the stored signal,

A digital program memory (14) for storing instructions, rules, and default values for controlling the processing of the stored signal,

Output means (15) for outputting a result of the processing of the stored signal,

the instructions, rules, and default values stored in the program memory (14) being designed to analyze the stored signal in terms of at least one specified signal characteristic, assign the stored signal to a predetermined damage category based on the result of the analysis, and to allow the output of this damage category—

as the result of the processing—

by the output means

wherein

the analysis includes a statistical evaluation of an analytical function of the signal derived from the recorded signal in order to determine the characteristic value of the specified signal features, the analytical function being a derivative of the signal that is the jerk of the structure-borne noise represented, or it is a higher derivative.

17. The measuring and analytical device as recited in claim 16,

wherein

a mean of analytical function values at the points of local extreme values of a velocity function derived from the recorded signal is a specified signal feature, the velocity function representing the velocity of the structure-borne vibration represented by the recorded signal.

18. The measuring and analytical device as recited in claim 16,

wherein

a frequency distribution of analytical function values at the points of local extreme values of a velocity function derived from the recorded signal is a specified signal feature, the velocity function representing the velocity of the structure-borne vibration represented by the recorded signal.

19. The measuring and analytical device as recited in claim 16,

wherein

the data and program memory (13;

14), arithmetic unit (12), and output means (15) are integrated in a portable, hand-held device, and the sensor (20)—

as an external element—

may be connected thereto using a cable or wireless connection.