Sensor data anomaly detection

A computer-implemented method comprising:

• receiving a time-series of a respective data value generated by each of a plurality of sensors;
• calculating a regression associated with a first sensor of the plurality of sensors based on the received plurality of time-series, the regression being a function of the respective data values of the others of the plurality of data sources;
• receiving respective data values associated with a time from and generated by each the plurality of respective sensors;
• determining a predicted value associated with the time for the first sensor based on the regression associated with the first sensor and on the respective data values associated with the time;
• comparing the predicted value with the received value associated with the time and generated by the first sensor;
• and
• determining a value indicating a likelihood of an anomaly based on the comparison.

A non-transitory computer-readable medium storing program code executable by a processor to cause a computing system to:

• receive a time-series of a respective data value generated by each of a plurality of sensors;
• calculate a regression associated with a first sensor of the plurality of sensors based on the received plurality of time-series, the regression being a function of the respective data values of the others of the plurality of data sources;
• receive respective data values associated with a time from and generated by each the plurality of respective sensors;
• determine a predicted value associated with the time for the first sensor based on the regression associated with the first sensor and on the respective data values associated with the time;
• compare the predicted value with the received value associated with the time and generated by the first sensor;
• and
• determine a value indicating a likelihood of an anomaly based on the comparison.