Monitoring method using kernel regression modeling with pattern sequences
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United States of America Patent
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Dec 31, 2013
Grant Date -
Jan 24, 2013
app pub date -
Jul 19, 2011
filing date -
Jul 19, 2011
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Abstract
A method for monitoring the condition of an object includes obtaining reference data that indicates the normal operational state of the object, and obtaining input pattern arrays. Each input pattern array has a plurality of time-ordered input vectors, while each input vector has input values representing a plurality of parameters indicating the current condition of the object. Then at least one processor 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 are compared to the corresponding input values so that resulting values from the comparison can be used to determine the condition of the object.
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