METHOD AND SYSTEM FOR EFFICIENT DATA COLLECTION AND STORAGE

• US 20090082919A1
• Filed: 09/25/2007
• Published: 03/26/2009
• Est. Priority Date: 09/25/2007
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Abernathy, Charles Larry, Fullington, Michael Dean, Hershey, John Erik, Iyer, Naresh Sundaram, Osborn, Brock Estel, Bruno, Jeanette Marie
• Granted Patent: US 8,116,936 B2
• Time in Patent Office: Days
• US Class Current: 701/35
• CPC Class Codes: F02D 2041/285 the sensor having a signal processing unit external to the engine control unit
• CPC Class Codes: F02D 2041/288 for performing a transformation into the frequency domain, e.g. Fourier transformation
• CPC Class Codes: F02D 41/249 Methods for preventing the loss of data
• CPC Class Codes: F02D 41/28 Interface circuits

Abstract

A system for collecting and storing performance data for an engine is provided. The system includes one or more sensors configured to generate sensor data signals representative of one or more engine data performance parameters. The system further includes a data sampling component, a data quantizing component, a data storage sampling rate component, a data encoding component and a data storage component. The data sampling component is configured to sample the sensor data signals at a data sampling rate. The data quantizing component is configured to generate quantized data samples corresponding to the sampled sensor data signals. The data storage sampling rate component is configured to determine a data storage sampling rate for the quantized data samples, based on an analysis of at least a subset of the quantized data samples. The data encoding component is configured to encode the quantized data samples according to the data storage sampling rate, and the data storage component is configured to store the encoded data samples from the encoding component.

Claims

1. A system for collecting and storing performance data for an engine, the system comprising:

at least one sensor configured to generate one or more sensor data signals representative of one or more engine data performance parameters;

a data sampling component configured to sample the sensor data signals at a data sampling rate;

a data quantizing component configured to generate a plurality of quantized data samples corresponding to the sampled sensor data signals;

a data storage sampling rate component configured to determine a data storage sampling rate for the quantized data samples, based on an analysis of at least a subset of the quantized data samples;

a data encoding component configured to encode the quantized data samples according to the data storage sampling rate; and

a data storage component configured to store the encoded data samples from the data encoding component.

2. The system of claim 1, wherein the analysis comprises identifying at least one frequency component from the sensor data signals.

3. The system of claim 1, further comprising a data buffer component configured to store the quantized data samples at the data sampling rate.

4. The system of claim 3, wherein the data buffer component is further configured to capture and store one or more transient data segments comprising the quantized data samples, wherein the transient data segments are indicative of an operational condition in the engine.

5. The system of claim 4, wherein the data storage sampling rate component is configured to detect an anomalous event based on the one or more transient data segments.

6. The system of claim 5, wherein the data storage sampling rate component is further configured to modify the data storage sampling rate in response to the detection of the anomalous event.

7. The system of claim 1, further comprising a correlation module configured to identify one or more correlation measures between the one or more of engine data performance parameters, wherein the data encoding component is further configured to compress the quantized data samples corresponding to the sampled sensor data signals, based on the one or more identified correlation measures.

8. The system of claim 7, wherein the data encoding component is configured to communicate the one or more identified correlation measures to the data storage sampling rate component and detect an anomalous event based on the one or more correlation measures communicated by the data encoding component.

9. The system of claim 8, wherein the data storage sampling rate component is further configured to modify the data storage sampling rate based on the one or more identified correlation measures.

10. The system of claim 9, wherein the data encoding component is configured to monitor the plurality of sensors, based on the one or more identified correlation measures.

11. The system of claim 1, wherein the engine data performance parameters comprise at least one of exhaust gas temperature, engine fuel flow, core speed, compressor discharge pressure, turbine exhaust pressure and fan speed.

12. A method for collecting and storing performance data for an engine, the method comprising:

receiving one or more sensor data signals, representative of one or more engine data performance parameters;

sampling the sensor data signals at a data sampling rate;

generating a plurality of quantized data samples corresponding to the sampled sensor data signals;

analyzing at least a subset of the quantized data samples to determine a data storage sampling rate for the quantized data samples; and

encoding and storing the quantized data samples according to the data storage sampling rate.

13. The method of claim 12, wherein the analysis comprises identifying at least one frequency component from the sensor data signals.

14. The method of claim 12, further comprising storing the quantized data samples at the data sampling rate.

15. The method of claim 14, further comprising capturing and storing one or more transient data segments comprising the quantized data samples, wherein the transient data segments are indicative of an operational condition in the engine.

16. The method of claim 15, further comprising detecting an anomalous event based on the one or more transient data segments.

17. The method of claim 16, further comprising modifying the data storage sampling rate based on the one or more stored transient data segments.

18. The method of claim 12, further comprising identifying one or more correlation measures between the one or more engine data performance parameters and compressing the quantized data samples, based on the one or more identified correlation measures.

19. The method of claim 18, further comprising detecting an anomalous event based on the one or more identified correlation measures.

20. The method of claim 19, further comprising modifying the data storage sampling rate, based on the one or more identified correlation measures.

21. The method of claim 20, further comprising monitoring at least one sensor configured to supply the sensor data signals, wherein the monitoring is based on the one or more identified correlation measures.