IP Library Granted Patent US 11,084,511
Granted Patent B2
US 11,084,511 · App. 16/373,295 · Granted Aug 10, 2021

Monitoring system for detecting degradation of a propulsion subsystem

Inventors: Raghav Shrikant Kulkarni (Bangalore, IN); Cesar Domingos (Contagem, BR); Vinaykanth V Mudiam (Lawrence Park, PA); Neil Xavier Blythe (Erie, PA); Shawn Gallagher (Erie, PA); Daniel Loringer (Erie, PA); Pedro Lopes (Contagem, BR); Vinayak Tilak (Hyderabad, IN); James Robert Mischler (Lawrence Park, PA); Patricia Sue Lacy (Lawrence Park, PA); Michael Majewski (Erie, PA); Pradheepram Ottikkutti (Lawrence Park, PA)
Assignee: TRANSPORTATION IP HOLDINGS, LLC
B61L3/006B60W50/0098B61L15/0072B61L15/0081G01C21/3453G05D1/0088G05D1/0274G07C5/02G07C5/0808G07C5/0825B60W2510/06B60W2510/30B61L15/009B61L15/0027G05D2201/0213
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Quick Facts
Patent No.
US 11,084,511
App. No.
16/373,295
Granted
Aug 10, 2021
Kind
B2
Abstract

A system detects a parameter and generates a first trip plan to automatically control the vehicle according to a first trip plan. A controller is connected to a sensor and configured to receive the parameter. The controller is configured to generate a new trip plan or modify the first trip plan into a modified trip plan based on at least one of a cumulative damage or an end of life. A new trip plan or the modified trip plan is configured, during operation of the vehicle according to the new trip plan or the modified trip plan, for at least one of an adjustment in velocity or avoiding one or more operating conditions of the vehicle, relative to the first trip plan.

Claims (46)

1. A vehicle monitoring system comprising:

a memory storing a model of a vehicle component that is at least partially based on a prior stress event involving the vehicle component; and

one or more processors coupled to the memory and configured to receive a series of sensor parameters from a sensor, the sensor parameters indicative of stress events involving the vehicle component, the one or more processors configured to perform operations for at least one of the sensor parameters that are received, the operations including:

comparing the at least one sensor parameter with the model of the vehicle component;

detecting a change in a rate at which the sensor parameters in the model of the vehicle component change based on comparing the at least one sensor parameter with the model of the vehicle component;

updating the model of the vehicle component in response to detecting the change in the rate at which the sensor parameters change;

comparing (a) the at least one sensor parameter or at least one other sensor parameter of the sensor parameters with (b) the model of the vehicle component;

identifying an additional stress event based on comparing (a) the at least one sensor parameter or at least one other sensor parameter of the sensor parameters with (b) the model of the vehicle component; and

recording the additional stress event in response to identifying the additional stress event,

wherein the one or more processors also are configured to automatically restrict operation of the one or more of the vehicle component or the vehicle based on the model of the vehicle component.

2. The vehicle monitoring system of claim 1 , wherein the one or more processors are configured to perform the operations in real-time as the sensor parameters are received.

3. The system of claim 1 , wherein the memory and the one or more processors are disposed onboard the vehicle.

4. The system of claim 1 , wherein the one or more processors also are configured to change an upcoming portion of a previously planned trip of the vehicle based on comparing the at least one sensor parameter with the model of the vehicle component.

5. The system of claim 1 , wherein the model of the vehicle component that is updated represents cumulative usage and prior performance of the vehicle component.

6. The system of claim 1 , wherein the model of the vehicle component that is updated is an electronic representation of a current state of the vehicle component.

7. The system of claim 1 , wherein the one or more processors also are configured to forecast upcoming operation of the vehicle component based on the model of the vehicle component.

8. The system of claim 1 , wherein the one or more processors also are configured to schedule maintenance of one or more of the vehicle component or the vehicle based on the model of the vehicle component.

9. A method for monitoring a vehicle, the method comprising:

storing a model of a vehicle component that is at least partially based on a prior stress event involving the vehicle component;

receiving a series of sensor parameters from a sensor, the sensor parameters indicative of stress events involving the vehicle component;

comparing at least one of the sensor parameters with the model of the vehicle component;

detecting a change in a rate at which the sensor parameters in the model of the vehicle component change based on comparing the at least one of the sensor parameters with the model of the vehicle component;

updating the model of the vehicle component in response to detecting the change in the rate at which the sensor parameters change;

comparing (a) the at least one of the sensor parameters or at least one other sensor parameter of the sensor parameters with (b) the model of the vehicle component;

identifying an additional stress event based on comparing (a) the at least one of the sensor parameters or at least one other sensor parameter of the sensor parameters with (b) the model of the vehicle component;

recording the additional stress event in response to identifying the additional stress event; and

automatically restricting operation of the one or more of the vehicle component or the vehicle based on the model of the vehicle component.

10. The method of claim 9 , wherein comparing the at least one of the sensor parameters with the model, detecting the change, updating the model, comparing (a) the at least one of the sensor parameters or at least one other sensor parameter of the sensor parameters with (b) the model, identifying the additional stress event, and recording the additional stress event occur in real-time as the sensor parameters are received.

11. The method of claim 9 , further comprising:

changing an upcoming portion of a previously planned trip of the vehicle based on comparing the at least one of the sensor parameters with the model of the vehicle component.

12. The method of claim 9 , wherein the model of the vehicle component that is updated represents cumulative usage and prior performance of the vehicle component.

13. The method of claim 9 , wherein the model of the vehicle component that is updated is an electronic representation of a current state of the vehicle component.

14. The method of claim 9 , further comprising:

forecasting upcoming operation of the vehicle component based on the model of the vehicle component.

15. The method of claim 9 , further comprising:

scheduling maintenance of one or more of the vehicle component or the vehicle based on the model of the vehicle component.

16. A monitoring system comprising:

one or more processors configured to obtain a sensor parameter from a sensor, the sensor parameter indicative of usage of a vehicle component, the one or more processors configured to detect a change in a rate at which the usage of the vehicle component is changing by comparing the sensor parameter with a digital model of the vehicle component,

wherein the one or more processors also are configured to change the model of the vehicle component in response to detecting the change in the rate at which the usage of the vehicle component is changing, and

wherein the one or more processors are configured to:

change an upcoming portion of a previously planned trip of a vehicle that includes the vehicle component based on the change in the rate that is detected; and

restrict operation of one or more of the vehicle or the vehicle component based on the change in the rate that is detected based on the change in the rate that is detected.

17. The system of claim 16 , wherein the model of the vehicle component that is updated represents one or more of:

cumulative usage and prior performance of the vehicle component; or

a current state of the vehicle component.

18. The system of claim 16 , wherein the one or more processors also are configured to forecast upcoming operation of the vehicle component based on the model of the vehicle component.

Assignments (3)
CHANGE OF NAME Recorded Aug 4, 2021
From: GE GLOBAL SOURCING LLC
To: TRANSPORTATION IP HOLDINGS, LLC
Reel/Frame 057085/0023 →
CHANGE OF NAME Recorded Jun 30, 2021
From: GE GLOBAL SOURCING LLC
To: TRANSPORTATION IP HOLDINGS, LLC
Reel/Frame 056729/0234 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 8, 2019
From: KULKARNI, RAGHAV SHRIKANT; DOMINGOS, CESAR; MUDIAM, VINAYKANTH V; BLYTHE, NEIL XAVIER; GALLAGHER, SHAWN; LORINGER, DANIEL; LOPES, PEDRO; TILAK, VINAYAK; MISCHLER, JAMES ROBERT; LACY, PATRICIA SUE; MAJEWSKI, MICHAEL; OTTIKKUTTI, PRADHEEPRAM
To: GE GLOBAL SOURCING LLC
Reel/Frame 049118/0690 →
Continuity (3)
Continuation PCTUS2018030231 · Apr 30, 2018
Provisional Application 62491765 · Apr 28, 2017
Related Publication 20190225245A1 · Jul 25, 2019