Detection of deviation from an operating state of a device
AssigneeSparkcognition, Inc.
InventorsAlexandre Ardel, Shashank Bassi, Elmira M. Bonab, Jeff Brown
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Abstract
A method of detecting deviation from an operational state of a device includes obtaining preprocessed data corresponding to data sensed by one or more sensor devices coupled to the device, where obtaining the preprocessed data includes applying a transform to the data sensed by the one or more sensor devices to generate a set of features in a frequency domain. The method also includes processing the preprocessed data using a trained anomaly detection model to generate an anomaly score. The method also includes processing the anomaly score using an alert generation model to determine whether to generate an alert.
Claims20
A method of detecting deviation from an operational state of a device, the method comprising:
- obtaining preprocessed data corresponding to data sensed by one or more sensor devices coupled to the device, wherein obtaining the preprocessed data includes applying a transform to the data sensed by the one or more sensor devices to generate a set of features in a frequency domain;
- processing the preprocessed data using a trained anomaly detection model to generate an anomaly score;
- and
- processing the anomaly score using an alert generation model to determine whether to generate an alert.
A system to detect deviation from an operational state of a device, the system comprising:
- a memory including a trained anomaly detection model and an alert generation model;
- and
- one or more processors coupled to the memory, the one or more processors configured to:
- obtain data sensed by one or more sensor devices coupled to the device;
- apply a transform to the data sensed by the one or more sensor devices to generate preprocessed data including a set of features in a frequency domain;
- process the preprocessed data using the trained anomaly detection model to generate an anomaly score;
- and
- process the anomaly score using the alert generation model to determine whether to generate an alert.
A computer-readable storage device storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations to detect deviation from an operational state of a device, the operations comprising:
- obtaining preprocessed data corresponding to data sensed by one or more sensor devices coupled to the device, wherein obtaining the preprocessed data includes applying a transform to the data sensed by the one or more sensor devices to generate a set of features in a frequency domain;
- processing the preprocessed data using a trained anomaly detection model to generate an anomaly score;
- and
- processing the anomaly score using an alert generation model to determine whether to generate an alert.
Dependencies are inferred from the claim text.