METHOD, COMPUTER PROGRAM PRODUCT & SYSTEM

• US 20160011076A1
• Filed: 03/27/2013
• Published: 01/14/2016
• Est. Priority Date: 04/24/2012
• Status: Abandoned Application

• Current Assignee: ABet SKF
• Original Assignee: ABet SKF
• Inventors: HAMILTON, Keith, MURRAY, Brian
• Application Number:
  US14/395,506
• Publication Number:
  US 20160011076A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: F16C 19/522 related to load on the bearing, e.g. bearings with load sensors or means to protect the bearing against overload
• CPC Class Codes: F16C 19/525 related to temperature and heat, e.g. insulation
• CPC Class Codes: F16C 19/527 related to vibration and noise
• CPC Class Codes: F16C 2202/36 Piezoelectric
• CPC Class Codes: F16C 2233/00 Monitoring condition, e.g. temperature, load, vibration
• CPC Class Codes: F16C 41/004 Electro-dynamic machines, e.g. motors, generators, actuators
• CPC Class Codes: F16C 41/008 Identification means, e.g. markings, RFID-tags; Data transfer means
• CPC Class Codes: G01M 13/04 Bearings
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis
• CPC Class Codes: G01N 3/00 Investigating strength properties of solid materials by application of mechanical stress
• CPC Class Codes: G07C 3/00 Registering or indicating the condition or the working of machines or other apparatus, other than vehicles

Abstract

A method for monitoring a bearing comprising the step of obtaining data concerning one or more of the factors that influence the residual life of the bearing using at least one sensor, such as a load sensor. The at least one sensor comprises an acoustic emission sensor and a temperature sensor. The method also comprises the steps of obtaining identification data uniquely identifying the bearing, transmitting data to and/or from the at least one sensor, using an industrial wireless protocol, and recording the data concerning one or more of the factors that influence the residual life of the bearing and the identification data as recorded data in a database.

Claims

1. A method for monitoring a bearing comprising the step of:

obtaining data concerning one or more factors that influence the residual life of said bearing using at least one sensor,

wherein said at least one sensor, comprises an acoustic emission sensor and a temperature sensor, and said method also comprises the steps of;

obtaining identification data uniquely identifying said bearing,

transmitting data at least one of to and from the at least one sensor using an industrial wireless protocol, and

recording said data concerning one or more of the factors that influence the residual life of said bearing and said identification data as recorded data in a database.

2. A method according to claim 1, wherein said at least one sensor also comprises a load sensor.

3. A method according to claim 1, wherein said industrial wireless protocol is based on IEE802.15.4

4. A method according to claim 1, wherein said at least one sensor, is attached to one of an inner ring or an outer ring of said bearing.

5. A method according to claim 1, wherein said step of obtaining data concerning one or more factors that influence the residual life of a bearing is carried out during at least part of one of the following periods:

during said bearing'"'"'s manufacture, after said bearing'"'"'s manufacture and before said bearing'"'"'s use, during said bearing'"'"'s use, during a period when the bearing is not in use, during the transportation of said bearing.

6. A method according to claim 1, wherein said data concerning one or more factors that influence the residual life of said bearing includes data concerning at least one of the magnitude and severity of at least one of the following:

vibration, temperature, rolling contact force/stress, high frequency stress waves, lubricant condition, rolling surface damage, operating speed, load carried, lubrication conditions, humidity, exposure to moisture, exposure to ionic fluids, exposure to mechanical shocks, corrosion, fatigue damage, and wear.

7. A method according to claim 1, wherein said step of obtaining said identification data includes obtaining said identification data from a machine-readable identifier associated with said bearing.

8. A method according to claim 1, wherein an electronic data recording device is used in said step of recording said data in a database.

9. A method according to claim 1, wherein said method further comprises a step of predicting the residual life of said bearing using said recorded data and a mathematical residual life predication model.

10. A method according to claim 1, wherein said bearing is a rolling element bearing.

11. A computer program product, comprising a computer program containing computer program code arranged to cause one of a computer or a processor to execute steps of a method, wherein the steps comprise:

obtaining data concerning one or more factors that influence the residual life of said bearing using at least one sensor,

wherein said at least one sensor, comprises an acoustic emission sensor and a temperature sensor, and said method also comprises the steps of;

obtaining identification data uniquely identifying said bearing,

transmitting data at least one of to and from the at least one sensor using an industrial wireless protocol, and

recording said data concerning one or more factors that influence the residual life of said bearing and said identification data as recorded data in a database,

wherein the computer program code is stored on one of a computer-readable medium or a carrier wave.

12. A system for monitoring a bearing comprising:

at least one sensor configured to obtain data concerning one or more factors that influence the residual life of said bearing,

wherein said at least one sensor comprises an acoustic emission sensor and a temperature sensor and said system also comprises;

at least one identification sensor configured to obtain identification data uniquely identifying said bearing,

transmission means configured to transmit data at least one of to and from the at least one sensor using an industrial wireless protocol, and

a data processing unit configured to record said data concerning one or more factors that influence the residual life of said bearing, and said identification data as recorded data in a database.

13. A method according to claim 12, wherein said at least one sensor also comprises a load sensor.

14. A system according to claim 12, wherein said industrial wireless protocol is based on IEE802.15.4

15. A system according to claim 12, wherein said at least one sensor is attached to one of an inner ring or an outer ring of said bearing.

16. A system according to claim 12, wherein said at least one sensor configured to obtain data concerning one or more factors that influence the residual life of a bearing is configured to obtain said data during at least part of one of the following periods:

during said bearing'"'"'s manufacture, after said bearing'"'"'s manufacture and before said bearing'"'"'s use, during said bearing'"'"'s use, during a period when the bearing is not in use, during the transportation of said bearing.

17. A system according to claim 12, wherein said data concerning one or more factors that influence the residual life of said bearing includes data concerning at least one of the magnitude and severity of at least one of the following:

vibration, temperature, rolling contact force/stress, high frequency stress waves, lubricant condition, rolling surface damage, operating speed, load carried, lubrication conditions, humidity, exposure to moisture, exposure to ionic fluids, exposure to mechanical shocks, corrosion, fatigue damage, and wear.

18. A system according to claim 12, wherein said at least one identification sensor includes a reader configured to obtain said identification data from a machine-readable identifier associated with said bearing.

19. A system according to claim 12, wherein said data processing unit is configured to record said data electronically.

20. A system according to claim 12, further comprising a prediction unit configured to predict the residual life of said bearing using said recorded data and a mathematical residual life predication model.

21. A system according to claim 12, wherein said bearing is a rolling element bearing.