Systems and methods for real-time detection of asset performance degradation using sensor-aggregated telemetry and peer-normalized edge inference

A computer-implemented method, comprising:

• receiving, by processing circuitry, sensor data associated with one or more assets in a target asset hierarchy;
• computing, by the processing circuitry, a plurality of enriched features for the one or more assets based on a plurality of sensor features included in the sensor data;
• generating, by the processing circuitry, an analytical data structure comprising feature values of the plurality of enriched features and the plurality of sensor features for the one or more assets over a time series;
• generating, by the processing circuitry using an anomaly detection model, an anomaly output data structure that extends the analytical data structure to include a set of anomaly score values corresponding to the one or more assets over the time series;
• generating, by the processing circuitry using an asset performance prediction model, an asset performance output data structure that extends the anomaly output data structure to include a plurality of predicted asset performance values for the one or more assets over the time series;
• inserting, into the asset performance output data structure by the processing circuitry, a plurality of performance disparity values computed based on the plurality of predicted asset performance values and the feature values of a respective sensor feature of the plurality of sensor features in the asset performance output data structure;
• detecting, by the processing circuitry using the asset performance output data structure, that a subset of the plurality of performance disparity values or a subset of the set of anomaly score values in the asset performance output data structure satisfy one or more alerting thresholds;
• and
• generating, by the processing circuitry, an asset maintenance alert for one or more assets associated with the subset of the plurality of performance disparity values or the subset of the set of anomaly score values in the asset performance output data structure.

A computer-implemented system comprising:

• processing circuitry;
• a memory;
• and
• a computer-readable medium operably coupled to the processing circuitry the computer-readable medium having computer-readable instructions stored thereon that, when executed by the processing circuitry, cause a computing device to perform operations comprising:
• receiving, by the processing circuitry, sensor data associated with one or more assets in a target asset hierarchy;
• computing, by the processing circuitry, a plurality of enriched features for the one or more assets based on a plurality of sensor features included in the sensor data;
• generating, by the processing circuitry, an analytical data structure comprising feature values of the plurality of enriched features and the plurality of sensor features for the one or more assets over a time series;
• generating, by the processing circuitry using an anomaly detection model, an anomaly output data structure that extends the analytical data structure to include a set of anomaly score values corresponding to the one or more assets over the time series;
• generating, by the processing circuitry using an asset performance prediction model, an asset performance output data structure that extends the anomaly output data structure to include a plurality of predicted asset performance values for the one or more assets over the time series;
• inserting, into the asset performance output data structure by the processing circuitry, a plurality of performance disparity values computed based on the plurality of predicted asset performance values and the feature values of a respective sensor feature of the plurality of sensor features in the asset performance output data structure;
• detecting, by the processing circuitry using the asset performance output data structure, that a subset of the plurality of performance disparity values or a subset of the set of anomaly score values in the asset performance output data structure satisfy one or more alerting thresholds;
• and
• generating, by the processing circuitry, an asset maintenance alert for one or more assets associated with the subset of the plurality of performance disparity values or the subset of the set of anomaly score values in the asset performance output data structure.