IP Library Granted Patent US 11,232,650
Granted Patent B2
US 11,232,650 · App. 16/131,632 · Granted Jan 25, 2022

Modelling operational conditions to predict life expectancy and faults of vehicle components in a fleet

Inventors: Arun Rajkumar (Velachery, IN); Sriranjani Ramakrishnan (TamiNadu, IN); Shisagnee Banerjee (Kolkata, IN); Rishabh Singh (Uttar Pradesh, IN); Kowshik Chilamkurthi (Karnataka, IN); Prateek Yadav (Rajasthan, IN); Narayanan Unny (Bangalore, IN)
Assignee: Conduent Business Services, LLC
G07C5/006G01C21/3415G01C21/3461G06N5/02G07C5/06
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Quick Facts
Patent No.
US 11,232,650
App. No.
16/131,632
Granted
Jan 25, 2022
Kind
B2
Abstract

Systems, methods, and processing nodes determine and perform preventive maintenance on a transport vehicle in a transportation system. The method includes extracting features for previous incidents that have occurred to a plurality of transport vehicles in the transportation system. The method also includes determining a criticality of types of incidents based on the features extracted. The method includes predicting, based on the criticality of types of incidents and the features extracted, details of at least one future incident for a first transport vehicle from the plurality of transport vehicles. The details include a predicted type of the at least one future incident, a predicted time of the at least one future incident, and a predicted criticality of the at least one future incident. Additionally, the method includes performing a prescriptive action for the first transport vehicle to mitigate the at least one future incident in the first transport vehicle.

Claims (39)

1. A method for performing preventive maintenance on a transport vehicle in a transportation system, the method comprising:

extracting features for previous incidents that have occurred to a plurality of transport vehicles in the transportation system;

determining a criticality of types of incidents based on the features extracted;

predicting, based on the criticality of types of incidents and the features extracted, details of at least one future incident for a first transport vehicle from the plurality of transport vehicles, wherein the details include a predicted type of the at least one future incident, a predicted time of the at least one future incident, and a predicted criticality of the at least one future incident;

predicting a breakdown time for the first transport vehicle; and

performing a prescriptive action for the first transport vehicle to mitigate the at least one future incident in the first transport vehicle,

wherein the types of incidents include failure of a component of the plurality of transport vehicles and an accident involving one of the plurality of transport vehicles.

2. The method of claim 1 , wherein the prescriptive action comprises displaying in a graphical user interface the details of the at least one future incident and possible solutions for addressing the at least one future incident.

3. The method of claim 1 , wherein the prescriptive action comprises performing maintenance on the first transport vehicle to mitigate the at least one future incident.

4. The method of claim 1 , wherein the prescriptive action comprises rerouting the first transport vehicle to avoid the at least one future incident.

5. The method of claim 1 , wherein determining the criticality of the types of incidents comprises:

classifying the types of incidents based on the features extracted.

6. The method of claim 1 , wherein predicting the details of at least one future incident comprises:

applying the features extracted to a recurrent neural network.

7. A method for extending usage of components of a transport vehicle in a transportation system, the method comprising:

extracting features for components of a plurality of components of transport vehicles in the transportation system, the features comprising operating conditions of the components;

selecting a first component from the plurality of components for prediction of remaining useful life of the first component;

determining the remaining useful life of the first component, wherein the remaining useful life is determined by applying the features to a survival analysis model; and

performing a prescriptive action to extend the remaining useful life of the first component,

wherein the prescriptive action includes at least a selected route to be travelled by the transport vehicle.

8. The method of claim 7 , the method further comprising:

training the survival analysis model using the features extracted for the plurality of components.

9. The method of claim 7 , wherein the prescriptive action comprises displaying in a graphical user interface the remaining useful life of the first component and possible solutions for improving the remaining useful life.

10. The method of claim 7 , wherein the prescriptive action comprises performing maintenance on the first component.

11. The method of claim 7 , wherein the prescriptive action comprises installing the first component on a new transport vehicle to improve the remaining useful life.

12. The method of claim 7 , wherein the operating conditions comprise weather conditions in which the first component is operating and geographical conditions in which the first component is operating.

13. The method of claim 7 , wherein the survival analysis model is a COX model.

14. A processing node for extending usage of components of a transport vehicle in a transportation system, the processing node being configured to perform operations comprising:

extracting features for components of a plurality of components of transport vehicles in the transportation system, the features comprising the operating conditions of the components;

selecting a first component from the plurality of components for prediction of remaining useful life of the first component;

determining the remaining useful life of the first component, wherein the remaining useful life is determined by applying the features to a survival analysis model; and

performing a prescriptive action to extend the remaining useful life of the first component,

wherein the prescriptive action includes at least a selected route to be travelled by the transport vehicle.

15. The processing node of claim 14 , the operations further comprising:

training the survival analysis model using the features extracted for the plurality of components.

16. The processing node of claim 14 , wherein the prescriptive action comprises displaying in a graphical user interface the remaining useful life of the first component and possible solutions for improving the remaining useful life.

17. The processing node of claim 14 , wherein the prescriptive action comprises performing maintenance on the first component.

18. The processing node of claim 14 , wherein the prescriptive action comprises installing the first component on a new transport vehicle to improve the remaining useful life.

19. The processing node of claim 14 , wherein the operating conditions comprise weather conditions in which the first component is operating and geographical conditions in which the first component is operating.

Assignments (3)
SECURITY INTEREST Recorded Oct 19, 2021
From: CONDUENT BUSINESS SERVICES, LLC
To: U.S. BANK, NATIONAL ASSOCIATION
Reel/Frame 057969/0445 →
SECURITY INTEREST Recorded Oct 19, 2021
From: CONDUENT BUSINESS SERVICES, LLC
To: BANK OF AMERICA, N.A.
Reel/Frame 057970/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 17, 2018
From: RAJKUMAR, ARUN; UNNY, NARAYANAN; RAMAKRISHNAN, SRIRANJANI; BANERJEE, SHISAGNEE; SINGH, RISHABH; CHILAMKURTHI, KOWSHIK; YADAV, PRATEEK
To: CONDUENT BUSINESS SERVICES, LLC
Reel/Frame 046889/0328 →