IP Library › Granted Patent US 11,308,738
Granted Patent B2
US 11,308,738 · App. 16/734,712 · Granted Apr 19, 2022

Mobile work machine performance detection and control system

Inventors: Douglas A. Thomas (Asbury, IA); Robert A. Hamilton (Raymond, IA)
Assignee: Deere & Company
G07C5/06G07C5/0825A01D41/127E01C23/088E01C23/127E02F9/2025
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Quick Facts
Patent No.
US 11,308,738
App. No.
16/734,712
Granted
Apr 19, 2022
Kind
B2
Abstract

A mobile work machine includes a sensor configured to generate a sensor signal indicative of operation of the mobile work machine, a machine performance detection system configured to receive the sensor signal, generate a topological representation of the sensor signal, and determine a machine performance characteristic based on the topological representation relative to a reference model, and a control system configured to generate a control signal to control the mobile work machine based on the machine performance characteristic.

Claims (40)

1. A mobile work machine comprising:

a sensor configured to generate a sensor signal indicative of operation of the mobile work machine;

a machine performance detection system configured to:

receive the sensor signal;

generate a topological representation of the sensor signal; and

determine a machine performance characteristic based on the topological representation relative to a reference model; and

a control system configured to generate a control signal to control the mobile work machine based on the machine performance characteristic.

2. The mobile work machine of claim 1 , wherein the sensor signal is indicative of operation of the mobile work machine during a given time period, and the reference model comprises a topological representation of the sensor signal generated by the sensor during a prior time period that precedes the given time period.

3. The mobile work machine of claim 1 , wherein the topological representation models a shape of the sensor signal over time.

4. The mobile work machine of claim 3 , wherein the sensor signal defines a time series of feature values, and generating the topological representation comprises applying a topological data analysis algorithm to the time series of feature values.

5. The mobile work machine of claim 4 , wherein the topological data analysis algorithm generates a persistence model that models persistence of homological features in the sensor signal over time.

6. The mobile work machine of claim 5 , wherein the persistence model is generated using persistent homology.

7. The mobile work machine of claim 4 , wherein the feature values represent acceleration of the mobile work machine in one or more directions.

8. The mobile work machine of claim 3 , wherein the machine performance detection system is configured to apply a distance function between the topological representation and the reference model.

9. The mobile work machine of claim 1 , wherein the sensor signal is indicative of vibration of the mobile work machine.

10. The mobile work machine of claim 9 , wherein the sensor comprises an accelerometer.

11. The mobile work machine of claim 9 , wherein the sensor comprises a hydraulic pressure sensor.

12. The mobile work machine of claim 9 , wherein the sensor comprises a motor speed detector.

13. The mobile work machine of claim 1 , wherein the sensor signal is indicative of an acoustic signal generated by the mobile work machine and detected by the sensor.

14. The mobile work machine of claim 1 , wherein the machine performance characteristic comprises a wear indicator indicative of wear of one or more machine components.

15. The mobile work machine of claim 1 , wherein the reference model is mapped to a machine anomaly record that identifies an anomalous machine operating condition.

16. A method performed by a computing system associated with a mobile work machine, the method comprising:

receiving, from a sensor associated with the mobile work machine, a sensor signal indicative of operation of the mobile work machine;

generating a topological representation of the sensor signal;

determining a machine performance characteristic based on the topological representation relative to a reference model; and

generating a control signal to control the mobile work machine based on the machine performance characteristic.

17. The method of claim 16 , wherein the sensor signal is indicative of operation of the mobile work machine during a given time period, and the reference model comprises a topological representation of the sensor signal generated by the sensor during a prior time period that precedes the given time period.

18. The method of claim 16 , wherein

the sensor signal defines a time series of feature values, and

generating the topological representation comprises applying a topological data analysis algorithm to the time series of feature values to model persistence of the feature values over time.

19. A computing system for a mobile work machine, the computing system comprising:

at least one processor; and

memory storing instructions executable by the at least one processor, wherein the instructions, when executed, cause the computing system to:

receive a sensor signal that defines a time series of feature values;

generate a topological representation that models a shape of the sensor signal over time by applying a topological data analysis algorithm to the time series of feature values;

determine a machine performance characteristic based on the topological representation relative to a reference model; and

generate a control signal to control the mobile work machine based on the machine performance characteristic.

20. The computing system of claim 19 , wherein the instructions, when executed, cause the computing system to:

generate a persistence model that models persistence of homological features in the sensor signal over time; and

determine the machine performance characteristic based on the persistence model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 6, 2020
From: THOMAS, DOUGLAS A.; HAMILTON, ROBERT A.
To: DEERE & COMPANY
Reel/Frame 051423/0027 →
Continuity (1)
Related Publication 20210209870A1 · Jul 8, 2021
Cited By (1)
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