Monitoring machine operation with different sensor types to identify typical operation for derivation of a signature

A component comprising:

• a primary sensor module configured to receive sensor information from a primary sensor, the primary sensor positioned to receive information from a portion of an industrial operation;
• a secondary sensor module configured to receive sensor information from one or more secondary sensors, the one or more secondary sensors are arranged to provide additional information about the portion of the industrial operation monitored by the primary sensor indicative of current operating conditions of the portion of the industrial operation;
• a conditions module configured to use the sensor information from the one or more secondary sensors and a machine learning algorithm to determine if the portion of the industrial operation is operating in a normal or abnormal condition;
• a transient exclusion module configured to use the sensor information from the one or more secondary sensors to identify a transient condition and wherein the signature module is configured to exclude sensor information of the primary sensor during the transient condition;
• and
• a signature module configured to, in response to determining that the portion of the industrial operation is operating in a normal condition, use sensor information from the primary sensor during the determined normal operating condition to derive a primary sensor signature for the sensor information from the primary sensor,
• wherein said modules comprise one or more of hardware circuits, a programmable hardware device, and executable code, the executable code stored on one or more computer readable storage media.

A computer program product comprising a computer readable storage medium having program code embodied therein, the program code executable by a processor to:

• receive sensor information from a primary sensor, the primary sensor positioned to receive information from a portion of an industrial operation;
• receive sensor information from one or more secondary sensors, the one or more secondary sensors are arranged to provide additional information about the portion of the industrial operation monitored by the primary sensor indicative of current operating conditions of the portion of the industrial operation;
• use the sensor information from the one or more secondary sensors and a machine learning algorithm to determine if the portion of the industrial operation is operating in a normal or abnormal condition;
• using the sensor information from the one or more secondary sensors to identify a transient condition and excluding sensor information of the primary sensor during the transient condition;
• and
• in response to determining that the portion of the industrial operation is operating in a normal condition, use sensor information from the primary sensor during the determined normal operating condition to derive a primary sensor signature for the sensor information from the primary sensor.