Apparatus and method for processing engine measurements

• US 5,821,412 A
• Filed: 08/09/1994
• Issued: 10/13/1998
• Est. Priority Date: 08/09/1994
• Status: Expired due to Fees

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Mathias, David Mansfield, Tjong, Jimi Sauw-Yoeng, Marko, Kenneth Andrew, Bryant, Bruce David
• Primary Examiner(s): Chilcot, Richard
• Assistant Examiner(s): MCCALL, ERIC SCOTT
• Application Number:
  US08/288,103
• Time in Patent Office: 1,526 Days
• Field of Search: 73/116, 73/117.2, 73/117.3, 73/119 R, 73/572
• US Class Current: 73/114.26
• CPC Class Codes: G01M 15/11 by detecting misfire

Abstract

A diagnostic envelope is used to analyze measurements from an internal combustion engine. Measurements may be from a partially assembled engine during a cold test to detect subtle mechanical anomalies, or from a fully assembled engine during a cold test or a hot test (with active fuel and spark). The measurements represent vibrational amplitudes corresponding to various crankshaft angular positions of the internal combustion engine. The first step in generating the diagnostic envelope includes filtering the measurements to enhance local variations. Filtered measurements representing a number of engine cycles are then combined to reduce random cycle-to-cycle variations. The diagnostic envelope is then generated by subtracting corresponding measurements obtained from engines with known operating characteristics. The diagnostic envelope is used in analyzing and/or classifying the engine. A fuzzy logic classifier is used to detect subtle mechanical anomalies while principal component analysis is utilized in analyzing engine performance, detecting less subtle mechanical defects, and in designing and validating engines.

Claims

1. A method for processing measurements from an internal combustion engine having a rotatable crankshaft wherein each measurement corresponds to an angular position of the crankshaft, the method comprising:

filtering the measurements to produce a series of filtered measurements wherein each filtered measurement represents a predetermined number of neighboring measurements so as to examine local variation among contiguous measurements;

combining filtered measurements which correspond to a particular angular position of the crankshaft to produce combined measurements having reduced random noise; and

subtracting one of a series of predetermined values each representing systematic activity at a particular angular position of the crankshaft from each corresponding combined filtered measurement to reduce systematic variation present within the measurements so as to produce a diagnostic envelope which allows both detection and identification of engine operating anomalies.

2. The method of claim 1 further comprising classifying the internal combustion engine based on the diagnostic envelope.

3. The method of claim 2 wherein classifying the engine comprises:

applying a transformation matrix to the diagnostic envelope so as to represent the diagnostic envelope with a predetermined number of parameters; and

comparing each of the predetermined number of parameters to corresponding parameters representing a plurality of diagnostic envelopes generated utilizing a group of internal combustion engines having known operating characteristics.

4. The method of claim 2 wherein classifying the engine comprises:

applying a transformation matrix to the diagnostic envelope so as to represent the diagnostic envelope with a predetermined number of principal components;

determining a spatial position of each predetermined number of principal components within a principal component space; and

monitoring change of the spatial position of each predetermined number of principal components within the principal component space.

5. The method of claim 4 wherein monitoring change of the spatial position comprises comparing the spatial position of each of the predetermined number of principal components to corresponding spatial positions of principal components of at least one previously analyzed internal combustion engine.

6. The method of claim 2 wherein classifying the internal combustion engine comprises applying a fuzzy logic classifier to the diagnostic envelope.

7. The method of claim 6 wherein the internal combustion engine includes a plurality of cylinders and wherein applying a fuzzy logic classifier to the diagnostic envelope comprises:

for each of the plurality of cylinders, determining proximity of peak values of the diagnostic envelope to a particular angular position of the crankshaft which is indicative of a particular condition of the internal combustion engine and determining a ratio of the diagnostic envelope values within a window of the particular angular position of the crankshaft to the diagnostic envelope values outside the window; and

determining proximity of peak values of the diagnostic envelope outside each window to the particular angular position of the crankshaft which is not indicative of the particular condition of the internal combustion engine and determining a ratio of the diagnostic envelope values outside the windows to all the diagnostic envelope values.

8. The method of claim 6 wherein the internal combustion engine includes a plurality of cylinders and wherein applying a fuzzy logic classifier to the diagnostic envelope comprises:

for each of the plurality of cylinders, indicating a first condition of the internal combustion engine if the diagnostic envelope includes a peak having a location associated with at least one predetermined angular position of the crankshaft and if values of the diagnostic envelope having a location proximate to the at least one predetermined angular position of the crankshaft dominate the diagnostic envelope; and

indicating a second condition of the internal combustion engine if the diagnostic envelope includes a peak having a location not associated with the at least one predetermined angular position of the crankshaft and if values of the diagnostic envelope not having a location proximate to the particular angular position of the crankshaft dominate all the values of the diagnostic envelope.

9. The method of claim 8 wherein indicating a first condition includes representing the peak with a fuzzy variable having a membership function with nonzero values corresponding to locations within a predetermined proximity of the at least one predetermined angular position of the crankshaft and zero values elsewhere.

10. The method of claim 8 wherein indicating a first condition includes determining a ratio of an integral with respect to angular position of the crankshaft, of values proximate to the at least one predetermined position of the crankshaft, to an integral with respect to angular position of the crankshaft, of substantially all values of the diagnostic envelope.

11. The method of claim 1 wherein filtering the measurements includes determining a standard deviation of the predetermined number of neighboring measurements.

12. The method of claim 1 wherein each measurement represents a vibrational amplitude of the internal combustion engine at a particular angular position of the crankshaft.

13. The method of claim 12 wherein each measurement comprises a signal generated by an accelerometer in contact with the internal combustion engine.

14. The method of claim 1 further comprising:

supplementing the measurements with terminal values, before performing the step of filtering the values, to eliminate boundary effects.

15. The method of claim 1 wherein the series of predetermined values is produced by:

applying the step of filtering the measurements and the step of combining the filtered measurements to a predetermined number of internal combustion engines having known operating characteristics; and

consolidating the combined filtered measurements from each of the predetermined number of internal combustion engines.

16. The method of claim 1 wherein subtracting one of a series of predetermined values includes assigning a value of zero to a particular point within the diagnostic envelope if the value would otherwise be less than zero.

17. The method of claim 1 wherein the internal combustion engine is partially assembled and the measurements are generated during a cold test of the internal combustion engine.

18. The method of claim 1 further comprising:

generating a transformation matrix for use in representing the diagnostic envelope with a predetermined number of principal components; and

classifying the internal combustion engine based on the transformation matrix and the diagnostic envelope.

19. The method of claim 18 wherein classifying the internal combustion engine comprises:

applying the transformation matrix to the diagnostic envelope so as to represent the diagnostic envelope with a predetermined number of principal components; and

comparing each of the predetermined number of principal components to corresponding principal components representing a plurality of diagnostic envelopes generated utilizing a group of internal combustion engines having known operating characteristics.

20. The method of claim 19 wherein comparing each of the predetermined number of principal components comprises comparing a spatial position of each principal component to a spatial position of a corresponding principal component representing a group of internal combustion engines having known operating characteristics.

21. The method of claim 19 further comprising passing the predetermined number of principal components through a neural network.

22. A system for processing measurements from an internal combustion engine having a rotatable crankshaft wherein each measurement corresponds to an angular position of the crankshaft, the system comprising:

means for filtering the measurements to produce a series of filtered measurements wherein each filtered measurement represents a predetermined number of neighboring measurements so as to examine local variation among contiguous measurements;

means for combining filtered measurements which correspond to a particular angular position of the crankshaft so as to reduce random noise within the measurements; and

means for subtracting one of a series of predetermined values each representing systematic activity at a particular angular position of the crankshaft from each corresponding combined filtered measurement to reduce systematic variation present within the measurements so as to produce a diagnostic envelope indicative of engine condition.

23. The system of claim 22 further comprising means for classifying the internal combustion engine based on the diagnostic envelope.

24. The system of claim 23 wherein the means for classifying the internal combustion engine comprises:

means for applying a transformation matrix to the diagnostic envelope so as to represent the diagnostic envelope with a predetermined number of principal components; and

means for comparing each of the predetermined number of principal components to corresponding principal components representing a plurality of diagnostic envelopes generated utilizing a group of internal combustion engines having known operating characteristics.

25. The system of claim 23 wherein the means for classifying the engine comprises:

means for applying a transformation matrix to the diagnostic envelope so as to represent the diagnostic envelope with a predetermined number of principal components;

means for determining a spatial position of each predetermined number of principal components within a principal component space; and

means for monitoring change of the spatial position of each predetermined number of principal components within the principal component space.

26. The system of claim 23 wherein the means for classifying the internal combustion engine comprises means for applying a fuzzy logic classifier to the diagnostic envelope.

27. The system of claim 22 wherein the internal combustion engine is partially assembled and the measurements are generated during a cold test of the internal combustion engine.

28. The system of claim 22 further comprising:

means for generating a transformation matrix for use in representing the diagnostic envelope with a predetermined number of principal components; and

means for classifying the internal combustion engine based on the transformation matrix and the diagnostic envelope.

29. The system of claim 28 wherein the means for classifying the internal combustion engine comprises:

means for applying the transformation matrix to the diagnostic envelope so as to represent the diagnostic envelope with a predetermined number of principal components; and

means for comparing each of the predetermined number of principal components to corresponding principal components representing a plurality of diagnostic envelopes generated utilizing a group of internal combustion engines having known operating characteristics.

30. A system for processing measurements from an internal combustion engine having a rotatable crankshaft wherein each measurement corresponds to an angular position of the crankshaft, the system comprising:

a motor coupled to the crankshaft for rotating the crankshaft;

at least one sensor in contact with the internal combustion engine for generating a signal indicative of vibrational activity of the internal combustion engine;

a position sensor for generating a signal indicative of an angular position of the crankshaft;

a processor in communication with the at least one sensor and the position sensor for filtering the signals from the at least one sensor to produce a series of filtered signal values wherein each filtered signal value represents a predetermined number of neighboring signal values, the processor also being operative to combine the filtered signal values which correspond to a particular angular position of the crankshaft and to subtract one of a series of predetermined values, representing systematic vibrational activity at a particular angular position of the crankshaft, from each corresponding combined signal value so as to produce a diagnostic envelope which is indicative of engine condition.