System and method for characterizing an arbitrary-length time series using pre-selected signatures
AssigneePalo Alto Research Center Incorporated
InventorAnurag Ganguli
Life of this patent
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Abstract
One embodiment provides a system for facilitating characterization of a time series of data associated with a physical system. During operation, the system determines one or more signatures, wherein a signature indicates a basis function for a known time series of data. The system trains a neural network based on the signatures as a known output. The system applies the trained neural network to the time series to generate a probability that the time series is characterized by a respective signature. The system enhances an analysis of the time series data and the physical system based on the probability.
Claims20
A computer-implemented method for facilitating characterization of a time series of data associated with a physical system, the method comprising:
- determining, by a computing device, one or more signatures, wherein a signature indicates a basis function for a known time series of data;
- training a neural network based on the signatures as a known output;
- applying the trained neural network to the time series to generate a probability that the time series is characterized by a respective signature;
- and
- enhancing an analysis of the time series data and the physical system based on the probability.
A computer system for facilitating characterization of a time series of data associated with a physical system, the computer system comprising:
- a processor;
- and
- a storage device storing instructions that when executed by the processor cause the processor to perform a method, the method comprising:
- determining one or more signatures, wherein a signature indicates a basis function for a known time series of data;
- training a neural network based on the signatures as a known output;
- applying the trained neural network to the time series to generate a probability that the time series is characterized by a respective signature;
- and
- enhancing an analysis of the time series data and the physical system based on the probability.
A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method, the method comprising:
- determining, by a computing device, one or more signatures, wherein a signature indicates a basis function for a known time series of data;
- training a neural network based on the signatures as a known output;
- applying the trained neural network to a time series of data associated with a physical system to generate a probability that the time series is characterized by a respective signature;
- and
- enhancing an analysis of the time series data and the physical system based on the probability.
Dependencies are inferred from the claim text.