Method and system of modifying a data collection trajectory for bearings

Patent metadata

Field	Value
Publication number	US-11281202-B2
Application number	US-201816230432-A
Country	US
Kind code	B2
Filing date	Dec 21, 2018
Priority date	May 9, 2016
Publication date	Mar 22, 2022
Grant date	Mar 22, 2022

Abstract

Systems, methods and apparatus for data monitoring are disclosed. A system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit, a data storage circuit structured to store specifications and anticipated state information for a plurality of bearing types, a bearing analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a bearing performance parameter, and a response circuit structured to initiate an action in response to the bearing performance parameter.

First claim

What is claimed is:

1. A data monitoring system, comprising:
a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit;
a data storage circuit structured to store specifications and anticipated state information for a plurality of bearing types;
a bearing analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a bearing performance parameter; and
a response circuit structured to initiate an action in response to the bearing performance parameter including enabling or disabling a processing of detection values by switching to sensors having at least one of: different response rates, different sensitivity, or different ranges.

2. The data monitoring system of claim 1 , wherein the action in response to the bearing performance parameter further comprises at least one action selected from a list of actions including: adjusting a sensor scaling value, selecting an alternate sensor from a plurality of available sensors, acquiring data from a plurality of sensors of different ranges, recommending an alternate sensor, or increasing an acquisition range for a sensor.

3. The data monitoring system of claim 1 , wherein the action in response to the bearing performance parameter further comprises at least one of: enabling or disabling a processing of the plurality of detection values corresponding to certain sensors based on a component status.

4. The data monitoring system of claim 1 , wherein the action in response to the bearing performance parameter further comprises at least one of: enabling or disabling a processing of detection values by accessing new sensors or types of sensors.

5. The data monitoring system of claim 1 , wherein the action in response to the bearing performance parameter further comprises at least one of: enabling or disabling a processing of detection values by accessing data from multiple sensors.

6. The data monitoring system of claim 1 , wherein the plurality of input sensors comprises at least one of: a temperature sensor, a load sensor, an optical vibration sensor, an acoustic wave sensor, a heat flux sensor, an infrared sensor, an accelerometer, a tri-axial vibration sensor, or a tachometer.

7. The data monitoring system of claim 1 , wherein the switching is controlled by at least one of: a model, a set of rules, or a machine learning system.

8. The data monitoring system of claim 1 , wherein the switching involves at least one of: switching from one input port to another, altering a multiplexing of data, activating a system to obtain additional data, or directing changes to a multiplexer (MUX) control circuit.

9. The data monitoring system of claim 1 , wherein the data acquisition circuit, which is communicatively coupled to the plurality of input sensors, is structured to deliver gap-free vibration patterns to the bearing analysis circuit.

10. A method, comprising:
interpreting a plurality of detection values corresponding to at least one of a plurality of input sensors;
storing specifications and anticipated state information for a plurality of bearing types;
analyzing the plurality of detection values relative to specifications and anticipated state information to determine a bearing performance parameter; and
enabling or disabling a processing of detection values, in response to the bearing performance parameter, by switching to sensors having at least one of: different response rates, different sensitivity, or different ranges.

11. The method of claim 10 , further comprising at least one of adjusting a sensor scaling value, selecting an alternate sensor from a plurality of available sensors, acquiring data from a plurality of sensors of different ranges, recommending an alternate sensor, or increasing an acquisition range for a sensor in response to the bearing performance parameter.

12. The method of claim 10 , further comprising enabling or disabling a processing of the plurality of detection values corresponding to certain sensors based on a component status and in response to the bearing performance parameter.

13. The method of claim 10 , further comprising enabling or disabling a processing of detection values by accessing new sensors or types of sensors in response to the bearing performance parameter.

14. The method of claim 10 , further comprising enabling or disabling a processing of detection values by accessing data from multiple sensors in response to the bearing performance parameter.

15. The method of claim 10 , wherein the switching of sensors is controlled by at least one of: a model, a set of rules, or a machine learning system.

16. The method of claim 15 , wherein the switching involves at least one of: switching from one input port to another, altering a multiplexing of data, activating a system to obtain additional data, or directing changes to a multiplexer (MUX) control circuit.

17. The method of claim 10 , further comprising at least one of issuing an alarm or an alert in response to the bearing performance parameter.

18. The method of claim 10 , wherein the analyzing the plurality of detection values relative to specifications and anticipated state information to determine a bearing performance parameter includes analyzing gap-free vibration patterns associated with the plurality of detection values.

19. An apparatus, comprising:
a data acquisition circuit structured to interpret a plurality of detection values, wherein a set of detection values from the plurality of detection values detail a gap-free vibration pattern and correspond to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit;
a data storage circuit structured to store specifications and anticipated state information for a plurality of bearing types;
a bearing analysis circuit structured to analyze the plurality of detection values from the gap-free vibration pattern relative to specifications and anticipated state information to determine a bearing performance parameter; and
a response circuit structured to initiate an action in response to the bearing performance parameter,
wherein the action in response to the bearing performance parameter comprises an action including at least one of: adjusting a sensor scaling value, selecting an alternate sensor from a plurality of available sensors, acquiring data from a plurality of sensors of different ranges, recommending an alternate sensor, or increasing an acquisition range for a sensor.

20. The apparatus of claim 19 , wherein the plurality of input sensors comprises at least one: of a temperature sensor, a load sensor, an optical vibration sensor, an acoustic wave sensor, a heat flux sensor, an infrared sensor, an accelerometer, a tri-axial vibration sensor, or a tachometer.

21. The apparatus of claim 19 , wherein the action in response to the bearing performance parameter comprises an action including at least one of issuing an alarm or an alert.

Assignees

• Strong Force Iot Portfolio 2016 Llc

Inventors

• Cella Charles Howard
• Duffy Jr Gerald William
• Mcguckin Jeffrey P
• Desai Mehul

Classifications

• G06F2218/00

  Aspects of pattern recognition specially adapted for signal processing · CPC title

• G06N3/042

  Knowledge-based neural networks; Logical representations of neural networks · CPC title

• G06N3/047

  Probabilistic or stochastic networks · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06N3/045

  Combinations of networks · CPC title