System of Sequential Kernel Regression Modeling for Forecasting and Prognostics
First Claim
1. A monitoring system for determining the future operational condition of an object, comprising:
- an empirical model module configured to;
receive reference data that indicates the normal operational state of the object,receive input pattern arrays, each input pattern array having a plurality of input vectors, each input vector representing a time point and having input values representing a plurality of parameters indicating the current condition of the object, andgenerate estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data, wherein the estimate values are in the form of an estimate matrix that includes at least one estimate vector of inferred estimate values, each estimate matrix representing at least one time point that is not represented by the input vectors; and
a prognostic module configured to use the inferred estimate values to determine a future condition of the object.
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Abstract
A monitoring system for determining the future operational condition of an object includes an empirical model to receive reference data that indicates the normal operational state of the object and input pattern arrays. Each input pattern array has a plurality of input vectors, while each input vector represents a time point and has input values representing a plurality of parameters indicating the current condition of the object. The model generates estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data. The estimate values, in the form of an estimate matrix, include at least one estimate vector of inferred estimate values, and represents at least one time point that is not represented by the input vectors. The inferred estimate values are used to determine a future condition of the object.
13 Citations
21 Claims
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1. A monitoring system for determining the future operational condition of an object, comprising:
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an empirical model module configured to; receive reference data that indicates the normal operational state of the object, receive input pattern arrays, each input pattern array having a plurality of input vectors, each input vector representing a time point and having input values representing a plurality of parameters indicating the current condition of the object, and generate estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data, wherein the estimate values are in the form of an estimate matrix that includes at least one estimate vector of inferred estimate values, each estimate matrix representing at least one time point that is not represented by the input vectors; and a prognostic module configured to use the inferred estimate values to determine a future condition of the object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification