Dynamic data filtering system and method
AssigneeIntellectual Assets LLC
InventorsRandall L. Bickford, Rahul M. Palnitkar
Life of this patent
Estimating the term…
Abstract
A computer-implemented dynamic data filtering system and method for selectively choosing operating data of a monitored asset that modifies or expands a learned scope of an empirical model of normal operation of the monitored asset while simultaneously rejecting operating data of the monitored asset that is indicative of excessive degradation or impending failure of the monitored asset, and utilizing the selectively chosen data for adaptively recalibrating the empirical model to more accurately monitor asset aging changes or operating condition changes of the monitored asset.
Claims17
A computer-implemented dynamic data filtering method, said method comprising the steps of:
- calibrating at least one data filter having at least one statistically based test for defining at least one predefined criterion of good data quality wherein the calibrating includes utilizing initial asset operating data values to define an initial scope of operation of an asset;
- acquiring additional asset operating data values for an additional operation of the asset;
- and
- filtering the acquired additional asset operating data values using the at least one data filter utilizing the at least one statistically based test to define the at least one predefined criterion of good data quality for selectively choosing asset operating data values that meet the at least one predefined criterion of good data quality;
- segregating the selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality;
- and
- storing the segregated selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality for subsequent use in adjusting the learned scope of at least one previously trained model.
A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a dynamic data filtering method, said method comprising:
- calibrating at least one data filter having at least one statistically based test for defining at least one predefined criterion of good data quality wherein the calibrating includes utilizing initial asset operating data values to define an initial scope of operation of an asset;
- acquiring additional asset operating data values for an additional operation of the asset;
- and
- filtering the acquired additional asset operating data values using the at least one data filter utilizing the at least one statistically based test to define the at least one predefined criterion of good data quality for selectively choosing asset operating data values that meet the at least one predefined criterion of good data quality;
- segregating the selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality;
- and
- storing the segregated selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality for subsequent use in adjusting the learned scope of at least one previously trained model.
A dynamic data filtering system, said system comprising:
- means for calibrating at least one data filter having at least one statistically based test for defining at least one predefined criterion of good data quality wherein said calibrating means comprises means for utilizing initial asset operating data values to define an initial scope of operation of an asset;
- means for acquiring additional asset operating data values for an additional operation of the asset;
- and
- means for filtering said acquired additional asset operating data values using the at least one data filter wherein said filtering means comprises means for utilizing said at least one statistically based test to define said at least one predefined criterion of good data quality for selectively choosing asset operating data values that meet said at least one predefined criterion of good data quality;
- means for segregating said selectively chosen asset operating data values that meet said at least one predefined criterion of good data quality;
- and
- means for storing said segregated selectively chosen asset operating data values that meet said at least one predefined criterion of good data quality for subsequent use in adjusting the learned scope of at least one previously trained model.
A computer-implemented dynamic data filtering method, said method comprising the steps of:
- calibrating at least one data filter having at least one statistically based test utilizing initial asset operating data values wherein the initial asset operating data values are used for defining an initial scope of operation of an asset;
- acquiring additional asset operating data values for an additional operation of the asset;
- using the at least one data filter having the at least one statistically based test defining at least one predefined criterion of good data quality for assigning a measure of data quality to at least one of the acquired additional asset operating data values;
- segregating at least one of the additional asset operating data values based on the measure of data quality assigned to the at least one additional asset operating data values;
- and
- storing the segregated at least one additional asset operating data values for defining an additional scope of operation of the asset.
Dependencies are inferred from the claim text.