System of sequential kernel regression modeling for forecasting and prognostics
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United States of America Patent
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Feb 2, 2016
Grant Date -
Jan 24, 2013
app pub date -
Jul 19, 2011
filing date -
Jul 19, 2011
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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.
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