System and method for analyzing operation of component of machine

• US 10,325,037 B2
• Filed: 04/28/2016
• Issued: 06/18/2019
• Est. Priority Date: 04/28/2016
• Status: Active Grant

• Current Assignee: Caterpillar Incorporated
• Original Assignee: Caterpillar Incorporated
• Inventors: Jacobson, Evan E., Chen, Qiang, Anderson, Michael D., Pauli, Nathan S., Hodel, Benjamin J.
• Primary Examiner(s): Wathen, Brian W
• Application Number:
  US15/140,521
• Publication Number:
  US 20170316125A1
• Time in Patent Office: 1,146 Days
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

A system for analyzing one or more operations associated with a component of a machine is disclosed. The system includes a data warehouse for storing data associated with the machine. The system includes a data extraction module, which extracts the data from the data warehouse and receives a customer input. The data extraction module generates an input parameter based on the data from the data warehouse and the customer input. The system includes a failure injection module for storing information of the one or more failures associated with the component of the machine. The system also includes a machine model, which is in communication with the data extraction module and the failure injection module. The machine model derives an output parameter associated with the one or more operations of the component of the machine, based on the input parameter and the information of the one or more failures.

Claims

1. A system for analyzing one or more operations associated with a component of a machine, the system comprising:

a data warehouse for storing data associated with the machine, wherein the data is collected from the machine using a telematics system;

a data extraction module configured to;

screen the one or more operations associated with the component of the machine from the data received in the data warehouse based on a pattern recognition mechanism and

cluster the one or more operations into at least one cluster based on a feature in the data received from the data warehouse;

extract the data from the data warehouse;

receive a customer input; and

generate an input parameter based on at least one of the extracted data and the received customer input;

a failure injection module configured to store information of one or more failures associated with the component of the machine; and

a machine model in communication with the data extraction module and the failure injection module, the machine model configured to derive an output parameter associated with the one or more operations of the component of the machine, based on at least one of the input parameter and the information of the one or more failures.

2. The system of claim 1, wherein the data extraction module is configured to:

identify the one or more operations associated with the component based on the customer input;

generate the input parameter corresponding to the one or more operations from the data received from the data warehouse;

communicate the generated input parameter to the machine model to drive the machine model; and

send the output parameter associated with the one or more operations to the data warehouse, wherein the one or more operations associated with the component of the machine are analyzed based on the output parameter.

3. The system of claim 1, wherein the machine model is configured to:

receive the information of the one or more failures associated with the component of the machine from the failure injection module;

receive the input parameter corresponding to the one or more operations from the data extraction module;

simulating the one or more operations of the machine based on the received information and the input parameter; and

derive the output parameter based on the simulation of the one or more operations.

4. The system of claim 1 further comprising a user interaction module configured to communicate with the data warehouse for enabling a user interaction.

5. The system of claim 1 further comprising an equipment care advisor in communication with the data warehouse, the equipment care advisor configured to:

receive the output parameter associated with the machine from at least one of the data warehouse and the machine model;

compare the output parameter with historical data of the machine; and

provide a command indicating a cause for each of the one or more failures associated with the component of the machine.

6. The system of claim 1, wherein the data warehouse is configured to generate reports based on a query of a customer.

7. The system of claim 1, wherein the machine model comprises a simulation model of at least one of an engine system, a transmission system, a controller, and a multiplexer.

8. A method of analyzing one or more operations associated with a component of a machine, the method comprising:

extracting data associated with the machine from a data warehouse;

identifying the one or more operations associated with the component based on at least one of a pattern recognition mechanism and a customer input;

generating an input parameter corresponding to the one or more operations based on the data received from the data warehouse;

receiving information of one or more failures associated with the component of the machine from a failure injection module and the input parameter corresponding to the one or more operations;

deriving an output parameter associated with the one or more operations based on at least one of the input parameter and the information of the one or more failures;

screening the one or more operations associated with the component of the machine from the data received in the data warehouse; and

clustering the one or more operations into at least one cluster based on a feature in the data received from the data warehouse.

9. The method of claim 8 further comprising, communicating the derived output parameter to the data warehouse.

10. The method of claim 9 further comprising, generating reports from the data warehouse based on a query of a customer.

11. The method of claim 8, further comprising, collecting the data associated with the machine using a telematics system.

12. The method of claim 8 further comprising, generating a virtual operation of the machine for troubleshooting the one or more operations of the component of the machine, wherein the virtual operation of the machine performs an efficiency test for the component of the machine.

13. The method of claim 8, wherein the data comprises one or more operating conditions associated with the component of the machine, machine operating parameters at a worksite, and the customer input.

14. The method of claim 8 further comprising:

receiving the output parameter associated with the machine from the data warehouse;

comparing the output parameter associated with the machine with historical data of the machine; and

providing a command indicative of a cause for each of the one or more failures based on the comparison of the output parameter with the historical data of the machine.

15. The method of claim 8, wherein the machine model comprises a simulation model of at least one of an engine system, a transmission system, a controller, and a multiplexer.

16. A computer program product embodied in a computer for analyzing one or more operations associated with a component of a machine, the computer program product configured to implement operations comprising:

receiving data associated with the component of the machine;

identifying the one or more operations associated with the component based on at least one of a pattern recognition mechanism and a customer input;

generating an input parameter corresponding to the one or more operations based on the data received from a data warehouse;

receiving information of the one or more failures associated with the component of the machine from a failure injection module and the input parameter corresponding to the one or more operations;

deriving an output parameter associated with the one or more operations based on at least one of the input parameter and the information of the one or more failures;

screening the one or more operations associated with the component of the machine from the data received in the data warehouse; and

clustering the one or more operations into at least one cluster based on a feature in the data received from the data warehouse.

17. The computer program product of claim 16 configured to implement operations comprising, communicating the derived output parameter to the data warehouse.

18. The computer program product of claim 16 configured to implement operations comprising:

receiving the output parameter associated with the component of the machine;

comparing the output parameter associated with the machine with historical data of the machine; and

providing a command indicative of a cause for each of the one or more operations based on the comparison of the output parameter with the historical data of the machine.