Engine analysis and diagnostic system

• US 10,253,716 B2
• Filed: 03/14/2014
• Issued: 04/09/2019
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Predictive Fleet Technologies, Inc.
• Original Assignee: Predictive Fleet Technologies, Inc.
• Inventors: Mentele, James
• Primary Examiner(s): Solis, Erick R
• Assistant Examiner(s): Bacon, Anthony L
• Application Number:
  US14/775,852
• Publication Number:
  US 20160025027A1
• Time in Patent Office: 1,852 Days
• CPC Class Codes: F02D 41/22 Safety or indicating devices for abnormal conditions in air/fuel ratio feedback systems F02D41/1495, in electric control linkage F02D11/107, in purge control systems F02M25/0809
• CPC Class Codes: F02D 41/2429 Methods of calibrating or learning
• CPC Class Codes: F02D 41/26 using computer, e.g. microprocessor
• CPC Class Codes: G01M 15/05 by combined monitoring of two or more different engine parameters

Abstract

A system for analyzing an engine of a vehicle may comprise a computer including a computer processor, a sensor connected to a portion of the vehicle and being configured to provide an engine signature to the computer, a simulator module configured to utilize the computer processor to generate simulated signature features associated with a simulated vehicle having prescribed defects, and a self-learning module configured to utilize the computer processor to learn associations between the simulated signature and prescribed defects. The computer processor may be configured to compare the engine signature with the associations of the self-learning module to produce a probability indicator that the engine has the prescribed defect at a specified intensity associated with a diagnosis of the engine.

Claims

1. A system for analyzing an engine of a vehicle having an intake manifold, a crankcase and an exhaust, comprising:

a computer including a computer processor;

a plurality of removably attachable sensors including at least two of an exhaust sensor configured to be connected to the exhaust, an intake sensor configured to be connected to the intake manifold, and a crankcase sensor configured to be connected to the crankcase, the plurality of removably attachable sensors being configured to provide an engine signature to the computer;

a simulator module configured to utilize the computer processor to generate simulated signature features associated with a simulated vehicle having prescribed defects at a specified intensity for at least two of an intake stroke, a compression stroke, a power stroke and an exhaust stroke; and

a self-learning module configured to utilize the computer processor to learn associations between the simulated signature features of the simulated vehicle and prescribed defects for each cylinder of the engine of the vehicle,

wherein the computer processor is configured to compare the engine signature for each cylinder of the engine with the associations of the self-learning module to

produce a probability indicator that the engine has the prescribed defect at the specified intensity, and

display a diagnosis of the engine including a plot of a nominally expected prognosis relative to a current condition prognosis to provide a projected failure time or mileage for the engine according to the at least two of the exhaust sensor, intake sensor, and crankcase sensor.

2. The system of claim 1, wherein the exhaust sensor and the crankcase sensor are configured to simultaneously analyze multiple engine signatures to provide an engine assessment of the vehicle.

3. The system of claim 1, wherein the portion of the vehicle includes the engine.

4. The system of claim 1, wherein the portion of the vehicle includes a crankcase access port of the engine and the crankcase sensor is positioned relative to the crankcase access port.

5. The system of claim 4, wherein the crankcase access port includes an oil dipstick tube and the crankcase sensor is positioned relative to the oil dipstick tube.

6. The system of claim 1, wherein the portion of the vehicle includes an exhaust system of the vehicle and the exhaust sensor is positioned relative to the exhaust system.

7. The system of claim 1, wherein the engine signature includes a vibration signature from the exhaust sensor of an exhaust pipe and the crankcase sensor of a crankcase access port.

8. The system of claim 1, further comprising a user interface configured to display the engine signature.

9. A system for analyzing an engine of a vehicle, comprising:

a computer including a computer processor;

a plurality of removably attachable sensors connected to respective portions of the vehicle, the sensor being configured to provide an engine signature to the computer;

a database configured to store simulated signatures associated with a simulated vehicle having prescribed defects; and

a self-learning module, with the computer processor, learns associations between the simulated signature of the simulated vehicle and prescribed defects according to the plurality of removably attachable sensors,

wherein the computer processor is configured to compare the engine signature to the associations of the self-learning module to identify at least one prescribed defect associated with a diagnosis of the vehicle.

10. The system of claim 9, further comprising multiple sensors configured to simultaneously analyze multiple engine signatures to provide an engine assessment of the vehicle.

11. The system of claim 9, wherein the portion of the vehicle includes the engine.

12. The system of claim 9, wherein the portion of the vehicle includes a crankcase access port of the engine.

13. The system of claim 12, wherein the crankcase access port includes an oil dipstick tube.

14. The system of claim 9, wherein the portion of the vehicle includes an exhaust system of the vehicle.

15. The system of claim 9, wherein the engine signature includes a vibration signature.

16. The system of claim 9, further comprising a display configured to display the engine signature.

17. A method for analyzing an engine of a vehicle, comprising:

receiving, with a computer, an engine signature from a plurality of removably attachable sensors connected to respective portions of the vehicle;

generating, with a computer simulation program on the computer, a simulated signature of a simulated vehicle having prescribed defects;

associating, with a self-learning module on the computer, the simulated signatures of the simulated vehicle and the prescribed defects according to the plurality of removably attachable sensors; and

comparing, with the computer, the vibration signatures and the simulated signatures to identify at least one prescribed defect associated with a diagnosis of the vehicle.

18. The system of claim 17, wherein the portion of the vehicle includes the engine.

19. The system of claim 17, wherein the portion of the vehicle includes a crankcase access port of the engine.

20. The system of claim 17, wherein the portion of the vehicle includes an exhaust system of the vehicle.