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Abstract

A method of presenting a recommendation in a user interface for use in optimization operation of industrial assets. Digital twins are generated for a set of industrial assets. The digital twins include data structures representing estimated states of each of a plurality of subsystems of the set of industrial assets over a time period based on an application of simulations using cumulative damage models. The cumulative damage models modeling the effects of exogenous factors on the operation of the set of industrial assets over the time period. Based on an uncertainty level of at least one of the estimated states transgressing an uncertainty threshold, directed actual state data is requested from an inspection system deployed in a field of at least one of the industrial assets. Based on a receiving of the actual state data, the data structures are updated to include the actual state data. The uncertainty level of the estimated states of each of the plurality of subsystems is also updated. The digital twins are continuously analyzed to determine a recommendation pertaining to operation of the industrial assets. The optimization is calculated to increase a net present value of the industrial assets or decrease an economic risk associated with the operation of the industrial assets.

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