Gas turbine engine performance data validation
First Claim
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1. A method for validating data acquired from a gas turbine engine comprising:
- inputting data samples corresponding to a plurality of gas turbine engine parameter measurements;
assembling the data samples in the form of a vector;
comparing the plurality of engine parameter measurements with corresponding estimated parameter values producing a percent Δ
s vector;
identifying critical engine parameters in the percent Δ
s vector;
observing deviations in the critical engine parameters if the engine experiences a physical fault and declaring the deviations suspect;
determining heuristic thresholds categorizing each data parameter sample Δ
in the percent Δ
s vector;
accepting the suspect data parameter sample Δ
for analysis if a trend of a data parameter sample Δ
is persistent over time;
declaring the data parameter sample Δ
an outlier if the trend of a data parameter sample Δ
is not persistent over time;
replacing that data parameter sample Δ
when a data parameter sample Δ
is declared an outlier with that parameter'"'"'s best estimate prior to the sample that is an outlier; and
accepting and outputting persistent data for performance analysis to avoid removing data that may indicate a systematic measuring problem.
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Abstract
The invention validates propulsion data used in engine performance diagnostics based on heuristic knowledge of the physical relationships between engine parameters. The method identifies data anomalies, reduces overall scatter, and allows for the detection of true engine fault events. The method uses persistency to aid in differentiating between anomalous and fault event data, and it replaces anomalous data with the best-known level for that parameter, thereby preserving the overall mean signal level.
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Citations
11 Claims
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1. A method for validating data acquired from a gas turbine engine comprising:
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inputting data samples corresponding to a plurality of gas turbine engine parameter measurements; assembling the data samples in the form of a vector; comparing the plurality of engine parameter measurements with corresponding estimated parameter values producing a percent Δ
s vector;identifying critical engine parameters in the percent Δ
s vector;observing deviations in the critical engine parameters if the engine experiences a physical fault and declaring the deviations suspect; determining heuristic thresholds categorizing each data parameter sample Δ
in the percent Δ
s vector;accepting the suspect data parameter sample Δ
for analysis if a trend of a data parameter sample Δ
is persistent over time;declaring the data parameter sample Δ
an outlier if the trend of a data parameter sample Δ
is not persistent over time;replacing that data parameter sample Δ
when a data parameter sample Δ
is declared an outlier with that parameter'"'"'s best estimate prior to the sample that is an outlier; andaccepting and outputting persistent data for performance analysis to avoid removing data that may indicate a systematic measuring problem. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for validating data acquired from a gas turbine engine comprising:
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inputting data samples corresponding to a plurality of gas turbine engine parameter measurements; assembling the plurality of data samples in the form of vectors, wherein each vector captures a discrete sample time k; normalizing the plurality of engine parameter data sample vectors using estimated engine parameter values to form corresponding vectors of percent Δ
s;identifying critical engine parameters in the percent Δ
vectors;identifying outliers in the percent Δ
vectors; andremoving the outliers in the percent Δ
vectors. - View Dependent Claims (9, 10, 11)
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Specification