Fluid classification
AssigneeHewlett-Packard Development Company, L.P.
InventorsSunil Bharitkar, Caitlin DeJong, Anita Rogacs, Steven J. Simske
Life of this patent
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Abstract
Fluid classification may include: receiving sensed data for the fluid; modeling the sensed data in a frequency domain; synthesizing a model of the sensed data from the frequency domain to a time domain response and converting the time domain response to a time frequency graphical representation in the form of a color map. Predetermined characteristics of the time frequency graphical representation are identified through computer vision and compared to at least one corresponding signature characteristic of a predetermined fluid type to identify the fluid as a fluid type.
Claims15
A method for fluid classification, the method comprising:
- receiving sensed data for an unknown fluid;
- modeling the sensed data in a frequency domain;
- synthesizing a model of the sensed data from the frequency domain to a time domain response;
- converting the time domain response to a time frequency graphical representation, wherein the time frequency graphical representation comprises a color map;
- identifying predetermined characteristics of the time frequency graphical representation through computer vision;
- and
- classifying the unknown fluid by comparing identified characteristics of the graphical representation to at least one corresponding signature characteristic of a predetermined fluid type.
A non-transitory computer-readable medium containing instructions to direct a processing unit to perform fluid classification by:
- receiving sensed data for the fluid;
- modeling the sensed data in a frequency domain;
- synthesizing a model of the sensed data from the frequency domain to a time domain response;
- converting the time domain response to a time frequency graphical representation, wherein the time frequency graphical representation comprises a color map;
- identifying predetermined characteristics of the time frequency graphical representation through computer vision;
- classifying the fluid by comparing identified characteristics of the graphical representation to at least one corresponding signature characteristic of a predetermined fluid type.
A database for fluid classification, the database comprising:
- fluid classifications, each fluid classification comprising predetermined visual characteristics of the fluid classification corresponding to application of a convoluted neural network to a time-frequency representation of spectrographic data for the fluid classification.
Dependencies are inferred from the claim text.