Method and apparatus for selecting condition indicators in determining the health of a component
First Claim
1. A method executed in a computer system for ranking condition indicators used in determining a health indicator for a component comprising:
- determining a first set of a plurality of said condition indicators;
determining a covariance matrix corresponding to said plurality of condition indicators;
determining a transformation matrix that whitens the covariance matrix;
using said whitening matrix to determine differences between said first plurality of condition indicators and expected values for said condition indicators belonging to a health class, each health class having a corresponding health indicator; and
selecting a portion of said plurality of condition indicators in accordance with those condition indicators have the smallest of said differences.
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Abstract
Disclosed are techniques used in connection with determining a health indicator (HI) of a component, such as that of an aircraft component. The HI is determined using condition indicators (CIs) which parameterize characteristics about a component minimizing possibility of a false alarm. Different algorithms are disclosed which may be used in determining one or more CIs. The HI may be determined using a normalized CI value. Techniques are also described in connection with selecting particular CIs that provide for maximizing separation between HI classifications. Given a particular HI at a point in time for a component, techniques are described for predicting a future state or health of the component using the Kalman filter. Techniques are described for estimating data values as an alternative to performing data acquisitions, as may be used when there is no pre-existing data.
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Citations
12 Claims
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1. A method executed in a computer system for ranking condition indicators used in determining a health indicator for a component comprising:
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determining a first set of a plurality of said condition indicators;
determining a covariance matrix corresponding to said plurality of condition indicators;
determining a transformation matrix that whitens the covariance matrix;
using said whitening matrix to determine differences between said first plurality of condition indicators and expected values for said condition indicators belonging to a health class, each health class having a corresponding health indicator; and
selecting a portion of said plurality of condition indicators in accordance with those condition indicators have the smallest of said differences. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer program product for ranking condition indicators used in determining a health indicator for a component comprising machine executable code for:
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determining a first set of a plurality of said condition indicators;
determining a covariance matrix corresponding to said plurality of condition indicators;
determining a transformation matrix that whitens the covariance matrix;
using said whitening matrix to determine differences between said first plurality of condition indicators and expected values for said condition indicators belonging to a health class, each health class having a corresponding health indicator; and
selecting a portion of said plurality of condition indicators in accordance with those condition indicators have the smallest of said differences. - View Dependent Claims (8, 9, 10, 11, 12)
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Specification