Condition monitoring for plain bearings by means of structure-borne noise

Patent metadata

Field	Value
Publication number	US-11994445-B2
Application number	US-201917045768-A
Country	US
Kind code	B2
Filing date	Mar 12, 2019
Priority date	Apr 11, 2018
Publication date	May 28, 2024
Grant date	May 28, 2024

Abstract

A method for determining an operating condition of at least one plain bearing includes measuring, by a sensor, structure-borne noise arising from a toothed engagement of a first gear and a second gear, wherein the first gear is rotatably mounted via the plain bearing and meshes with the second gear. The method further includes assigning, to a signal of the sensor, a variable that correlates with the operating condition of the plain bearing.

First claim

The invention claimed is:

1. A method for determining an operating condition of at least one plain bearing, the method comprising:
measuring, by a sensor, structure-borne noise arising from a toothed engagement of a first gear and a second gear, wherein the first gear is rotatably mounted via the plain bearing and meshes with the second gear;
assigning, to a signal of the sensor, a variable that correlates with an absolute or relative bearing play of the plain bearing; and
filtering the signal, wherein the filtered signal corresponds to a signal of the structure-borne noise arising from the toothed engagement,
wherein a simulated structure-borne noise from the toothed engagement of the first gear and the second gear, a simulated signal of the sensor, and a simulated filtered signal are determined by simulation using a model of the first gear, the second gear, and the plain bearing, and
wherein the model images the operating condition of the plain bearing correlating with the absolute or relative bearing play.

2. The method according to claim 1 , further comprising calculating a frequency spectrum and/or an order spectrum of the signal and/or of the filtered signal.

3. The method according to claim 1 , further comprising detecting a rotational speed of the first gear and/or a temperature of the plain bearing and/or a torque applied to the first gear.

4. The method according to claim 2 , wherein a simulated frequency spectrum and/or a simulated order spectrum of the signal or filtered signal is determined by simulation using the model of the first gear, the second gear, and the plain bearing.

5. The method according to claim 1 , wherein the simulation is carried out iteratively over several operating conditions of the plain bearing.

6. The method to claim 1 , wherein the variables determined by simulation are in each case compared with a corresponding variable ascertained by measurement.

7. The method to claim 1 , comprising arranging the sensor on or in a component other than the plain bearing.

8. The method of claim 7 , wherein the sensor is arranged on a surface of a transmission housing, the at least one plain bearing, the first gear, and the second gear being arranged within the transmission housing.

9. The method according to claim 1 , wherein the model is an artificial neural network trained by machine learning.

10. An arrangement, comprising:
at least one plain bearing;
a first gear mounted via the plain bearing;
a second gear with which the first gear meshes;
a sensor configured to measure structure-borne noise from a toothed engagement of the first gear and the second gear; and
a controller configured to assign, to a signal of the sensor, a variable that correlates with an absolute or relative bearing play of the plain bearing,
wherein the controller is further configured to filter the signal, wherein the filtered signal corresponds to a signal of the structure-borne noise arising from the toothed engagement, and
wherein the controller is configured to simulate structure-borne noise from the toothed engagement of the first gear and the second gear, signals of the sensor, and filtered signals using a model of the first gear, the second gear, and the plain bearing, and
wherein the model images the operating condition of the plain bearing correlating with the absolute or relative bearing play.

11. The arrangement of claim 10 , wherein the sensor is arranged on or in a component other than the plain bearing.

12. The arrangement of claim 11 , wherein the sensor is arranged on a surface of a transmission housing, the at least one plain bearing, the first gear, and the second gear being arranged within the transmission housing.

13. A method for determining a bearing gap of at least one plain bearing, the method comprising:
measuring, by a sensor, structure-borne noise arising from a toothed engagement of a first gear and a second gear, wherein the first gear is rotatably mounted via the plain bearing and meshes with the second gear;
assigning, to a signal of the sensor, a variable that correlates with the bearing gap of the plain bearing; and
filtering the signal, wherein the filtered signal corresponds to a signal of the structure-borne noise arising from the toothed engagement,
wherein a simulated structure-borne noise from the toothed engagement of the first gear and the second gear, a simulated signal of the sensor, and a simulated filtered signal are determined by simulation using a model of the first gear, the second gear, and the plain bearing, and
wherein the model images an operating condition of the plain bearing correlating with the bearing gap.

Assignees

• Zahnradfabrik Friedrichshafen

Inventors

• Vath Andreas
• Schmidt Sebastian

Classifications

• G01M13/045 Primary

  Acoustic or vibration analysis · CPC title

• G01M13/021

  Gearings · CPC title

• G01M13/028

  Acoustic or vibration analysis · CPC title

• F16C2233/00

  Monitoring condition, e.g. temperature, load, vibration · CPC title

• F16C2361/61

  Toothed gear systems, e.g. support of pinion shafts · CPC title