Predictive maintenance and diagnostics using modular condition monitoring

Patent metadata

Field	Value
Publication number	US-11763609-B2
Application number	US-202117463486-A
Country	US
Kind code	B2
Filing date	Aug 31, 2021
Priority date	Dec 10, 2018
Publication date	Sep 19, 2023
Grant date	Sep 19, 2023

Abstract

Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.

First claim

What is claimed is:

1. A computing system, comprising:
a processor; and
a memory that stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising:
receiving damage accumulation information from a data logger of an autonomous vehicle, the data logger being configured to monitor an electronic module of the autonomous vehicle, the damage accumulation information specifying environmental conditions to which the electronic module has been exposed over time;
calibrating the damage accumulation information from the data logger based on fleet-wide damage accumulation information to generate normalized damage accumulation information that accounts for a variation in placement of the data logger relative to the electronic module in the autonomous vehicle;
generating a predicted maintenance schedule for the electronic module of the autonomous vehicle based upon the normalized damage accumulation information; and
controlling the autonomous vehicle to travel to a destination for servicing the electronic module based on the predicted maintenance schedule for the electronic module.

2. The computing system of claim 1 , wherein the data logger is a battery powered device that is retrofitted to the electronic module in the autonomous vehicle.

3. The computing system of claim 1 , wherein the data logger is a battery powered device included in the autonomous vehicle within proximity to the electronic module.

4. The computing system of claim 1 , wherein the damage accumulation information from the data logger is received from a scanning device that scans the data logger for the damage accumulation information.

5. The computing system of claim 1 , wherein the environmental conditions to which the electronic module has been exposed over time monitored by the data logger comprise logged temperatures to which the electronic module of the autonomous vehicle has been exposed over time.

6. The computing system of claim 1 , wherein the environmental conditions to which the electronic module has been exposed over time monitored by the data logger comprise logged humidity levels to which the electronic module of the autonomous vehicle has been exposed over time.

7. The computing system of claim 1 , wherein the environmental conditions to which the electronic module has been exposed over time monitored by the data logger comprise logged voltages to which the electronic module of the autonomous vehicle has been exposed over time.

8. The computing system of claim 1 , wherein the environmental conditions to which the electronic module has been exposed over time monitored by the data logger comprise logged currents to which the electronic module of the autonomous vehicle has been exposed over time.

9. The computing system of claim 1 , wherein the electronic module comprises one of a power failure detector of the autonomous vehicle, a sensor of the autonomous vehicle, or a mechanical system controller of the autonomous vehicle.

10. The computing system of claim 1 , wherein the predicted maintenance schedule for the electronic module of the autonomous vehicle is further generated based on a damage accumulation model for a type of the electronic module, the damage accumulation model being based on a statistical analysis of the fleet-wide damage accumulation information.

11. The computing system of claim 10 , wherein the damage accumulation model is updated as additional fleet-wide damage accumulation information is collected.

12. A method performed by a computing system, comprising:
receiving damage accumulation information from a data logger of an autonomous vehicle, the data logger being configured to monitor an electronic module of the autonomous vehicle, the damage accumulation information specifying environmental conditions to which the electronic module has been exposed over time;
calibrating the damage accumulation information from the data logger based on fleet-wide damage accumulation information to generate normalized damage accumulation information, the normalized damage accumulation information accounting for a variation in placement of the data logger relative to the electronic module in the autonomous vehicle;
generating a predicted maintenance schedule for the electronic module of the autonomous vehicle based upon the normalized damage accumulation information; and
controlling the autonomous vehicle to travel to a destination for serving the electronic module based on the predicted maintenance schedule for the electronic module.

13. The method of claim 12 , wherein the data logger is a battery powered device that is retrofitted to the electronic module in the autonomous vehicle.

14. The method of claim 12 , wherein the data logger is a battery powered device included in the autonomous vehicle within proximity to the electronic module.

15. The method of claim 12 , wherein the damage accumulation information from the data logger is received from a scanning device that scans the data logger for the damage accumulation information.

16. The method of claim 12 , wherein the environmental conditions to which the electronic module has been exposed over time monitored by the data logger comprise at least one of temperature, humidity, vibration, voltage, or current.

17. The method of claim 12 , wherein the electronic module comprises one of a power failure detector of the autonomous vehicle, a sensor of the autonomous vehicle, or a mechanical system controller of the autonomous vehicle.

18. The method of claim 12 , wherein the predicted maintenance schedule for the electronic module of the autonomous vehicle is further generated based on a damage accumulation model for a type of the electronic module, the damage accumulation model being based on a statistical analysis of the fleet-wide damage accumulation information.

19. A method performed by a computing system, comprising:
receiving damage accumulation information from a data logger of the autonomous vehicle, the data logger being configured to monitor an electronic module of the autonomous vehicle, the damage accumulation information specifying environmental conditions to which the electronic module has been exposed over time, the data logger being a battery powered device;
calibrating the damage accumulation information from the data logger based on fleet-wide damage accumulation information to generate normalized damage accumulation information, the normalized damage accumulation information accounting for a variation in placement of the data logger relative to the electronic module in the autonomous vehicle;
generating a predicted maintenance schedule for the electronic module of the autonomous vehicle based upon the normalized damage accumulation information from the data logger and a damage accumulation model for a type of the electronic module, the damage accumulation model being based on a statistical analysis of the fleet-wide damage accumulation information; and
controlling the autonomous vehicle to travel to a destination for servicing the electronic module based on the predicted maintenance schedule for the electronic module.

20. The computing system of claim 1 being an internal computing system of the autonomous vehicle.

Assignees

• Gm Cruise Holdings Llc

Inventors

• Schmidt Michael Frank
• Glidden Samuel Harrison
• Nielsen Erik Birk
• Kaufman Chase Brian

Classifications

• G07C5/008 Primary

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G07C5/0841 Primary

  Registering performance data (recording measured values G01D; information storage G11B) · CPC title

• G07C5/006

  Indicating maintenance · CPC title

• G06N20/00

  Machine learning · CPC title