Detecting anomalous sensors

A computer-implemented method comprising:

• monitoring a plurality of sensors to obtain a plurality of healthy sensor data, each of the healthy sensor data includes a plurality of sensed values of a corresponding sensor among a plurality of sensors in normal operation and does not include data from anomalous sensors;
• generating a healthy data distribution of at least two sensors among the plurality of sensors corresponding to the plurality of healthy sensor data;
• and
• generating a function of a parameter probability distribution of sensor parameters of the plurality of sensors under a condition of sensor data of the plurality of sensors based on the healthy data distribution, each parameter indicating whether the corresponding sensor is healthy or anomalous.

A computer program product comprising including one or more computer readable mediums collectively including instructions that, when executed by the processor, cause the processor to:

• monitor a plurality of sensors to obtain a plurality of healthy sensor data, each of the healthy sensor data includes a plurality of sensed values of a corresponding sensor among a plurality of sensors in normal operation and does not include data from anomalous sensors;
• generate a healthy data distribution of at least two sensors among the plurality of sensors corresponding to the plurality of healthy sensor data;
• and
• generate a function of a parameter probability distribution of sensor parameters of the plurality of sensors under a condition of sensor data of the plurality of sensors based on the healthy data distribution, each parameter indicating whether the corresponding sensor is healthy or anomalous.