PANORAMIC KNOCK SENSOR SYSTEMS AND METHODS FOR ENGINE COMPONENT HEALTH DETECTION

• US 20170010173A1
• Filed: 07/10/2015
• Published: 01/12/2017
• Est. Priority Date: 07/10/2015
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Bizub, Jeffrey Jacob
• Application Number:
  US14/796,934
• Publication Number:
  US 20170010173A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: F02D 35/027 using knock sensors
• CPC Class Codes: F02D 41/1497 With detection of the mechanical response of the engine
• 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: G01L 23/221 for detecting or indicating knocks in internal combustion engines
• CPC Class Codes: G01L 23/225 circuit arrangements therefor
• CPC Class Codes: G01M 15/12 by monitoring vibrations
• CPC Class Codes: Y02T 10/40 Engine management systems

Abstract

A system includes an engine control system configured to receive a first vibration signal from a first knock sensor disposed about a reciprocating engine, apply a binaural model to the first vibration signal, derive an engine health condition based on the application of the binaural model to the first vibration signal, and communicate the engine health condition.

Claims

1. A system comprising:

an engine control system configured to;

receive a first vibration signal from a first knock sensor disposed about a reciprocating engine;

apply a binaural model to the first vibration signal;

derive an engine health condition based on the application of the binaural model to the first vibration signal; and

communicate the engine health condition.

2. The system of claim 1, wherein the binaural models comprise a time component.

3. The system of claim 2, wherein the time component comprises a crankangle of the reciprocating engine.

4. The system of claim 1, wherein engine control system is configured to receive a second vibration signal from a second knock sensor disposed about the reciprocating engine.

5. The system of claim 4, wherein the controller is configured to apply the binaural model to a combination of the first vibration signal and the second vibration signal to locate a source of the first vibration signal and the second vibration signal.

6. The system of claim 5, wherein the first vibration signal is received by the first knock sensor at a first crankangle range and the second vibration signal is received by the second knock sensor at a second crankangle range.

7. The system of claim 4, wherein the controller is configured to apply the binaural model to a concurrent combination of the first vibration signal and the second vibration signal to determine a comprehensive health of the reciprocating engine.

8. The system of claim 1, wherein deriving the engine health condition comprises detecting a severity, a constancy, or any combination thereof between the applied binaural model and the first vibration signal.

9. A method, comprising

receiving a first vibration signal from a first knock sensor disposed about a reciprocating engine;

applying a binaural model to the first vibration signal;

deriving an engine health condition based on the application of the binaural model to the first vibration signal; and

communicating the engine health condition.

10. The method of claim 9, comprising transforming the first vibration signal into a frequency signature before applying the binaural model.

11. The method of claim 10, wherein transforming the first vibration signal comprises dividing the first vibration signal into discrete time segments.

12. The method of claim 11, wherein the time segments are based on a crankangle range of the reciprocating engine.

13. The method of claim 12, wherein the crankangle range comprises a range of 15 degrees.

14. The method of claim 9, comprising receiving a second vibration signal from a second knock sensor disposed about the reciprocating engine.

15. The method of claim 14, comprising applying the binaural model to a combination of the first vibration signal and the second vibration signal to locate a source of the first vibration signal and the second vibration signal.

16. The method of claim 9, wherein deriving the engine health condition comprises deriving a severity or a constancy of the first vibration signal after applying the binaural model.

17. A computer program product being embodied in a non-transitory computer readable storage medium and comprising computer-executable instructions for:

receiving a first vibration signal from a first knock sensor disposed about a reciprocating engine;

applying a binaural model to the first vibration signal;

deriving an engine health condition based on the application of the binaural model to the first vibration signal; and

communicating the engine health condition.

18. The computer program product of claim 17, wherein the instructions comprise instructions for receiving a second vibration signal from a second knock sensor disposed about the reciprocating engine, and locating a source of the first vibration signal and the second vibration signal.

19. The computer program product of claim 18, wherein deriving the engine health condition comprises deriving a location of an abnormal vibration within the reciprocating engine.

20. The computer program product of claim 17, wherein the instructions comprise instructions for automatically adjusting operating parameters based on the engine health condition.