CPC G06Q 10/0875 (2013.01) [G01M 99/005 (2013.01); G05B 23/0243 (2013.01); G05B 23/027 (2013.01); G06F 16/9558 (2019.01); G06Q 30/012 (2013.01); G07C 3/005 (2013.01)] | 18 Claims |
1. A method comprising:
receiving sensor information from an additional sensor of a plurality of sensors of an industrial operation, the additional sensor different from one or more component sensors of the plurality of sensors used for functionality of a component of the industrial operation, wherein sensor information from the additional sensor monitors conditions of a portion of the industrial operation different from sensor information of the one or more component sensors used by the component for the functionality of the component;
deriving, using the sensor information, a correlation between an operational parameter of the component and sensor information of the additional sensor, the operational parameter related to a predicted operational lifetime of the component, wherein deriving the correlation between the operational parameter of the component and sensor information of the additional sensor comprises using a machine learning algorithm to identify the correlation from sensor information of a plurality of additional sensors monitoring conditions of a portion of the industrial operation different from the functionality of the component;
identifying an abnormal operating condition of the component based on a comparison between additional sensor information from the additional sensor and the operational parameter; and
sending an alert comprising the identified abnormal operating condition.
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