Patent ID: 11880750
Assignee: SPARKCOGNITION, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 21:
22. A self-training sensor apparatus comprising:
a sensor to generate sensor data associated with operation of a device;
an input interface to receive input to select between a training mode of operation and a detection mode of operation;
a memory including model generation instructions;
one or more processors coupled to the memory, the one or more processors configured to:
while operating in the training mode of operation, receive first sensor data from the sensor and execute the model generation instructions based on the first sensor data to generate a trained anomaly detection model and an alert detection model, wherein the trained anomaly detection model includes a data structure representing an autoencoder; and
while operating in the detection mode of operation:
receive second sensor data from the sensor;
use the trained anomaly detection model to generate an anomaly score by:
inputting the second sensor data to the autoencoder; and
generating a residual based on an output of the autoencoder and the second sensor data, wherein the anomaly score is based on the residual; and

process the anomaly score using the alert detection model to determine whether to generate an alert; and

an output interface to output an alert indication responsive to the one or more processors generating the alert.