Sensing and computing control system for shaping precise temporal physical states

Abstract

According to some embodiments, system and methods are provided, comprising an installed product, including a plurality of components; a computer programmed with a damage metric model for the installed product, the damage metric model for providing an estimate of an extent of damage on one or more components; the computer programmed with a dynamic process control model for providing a dynamic response of the installed product with respect to its one or more operating parameters; the computer further programmed with a true-up model for providing a control action to reduce an uncertainty of the estimate provided by the damage metric model; the computer including a processor and a memory in communication with the processor, the memory storing the damage metric model and the true-up model; the memory storing additional program instructions, the processor operative with the additional program instructions to perform functions as follows: receiving an estimate output of the damage metric model, wherein the output includes the estimate of the extent of damage on the one or more components; generating, via the dynamic process control model, an operating response of the installed product to the received estimate output; in response to receipt of the estimate output, executing the true-up model; and generating, via execution of the true-up model, the plan to reduce uncertainty of the estimate output. Numerous other aspects are provided.

1 . A system comprising:
 an installed product, including a plurality of components;   a computer programmed with a damage metric model for the installed product, the damage metric model for providing an estimate of an extent of damage on one or more components; the computer programmed with a dynamic process control model for providing a dynamic response of the installed product with respect to its one or more operating parameters; the computer further programmed with a true-up model for providing a control action to reduce an uncertainty of the estimate provided by the damage metric model;   the computer including a processor and a memory in communication with the processor, the memory storing the damage metric model and the true-up model; the memory storing additional program instructions, the processor operative with the additional program instructions to perform functions as follows:
 receiving an estimate output of the damage metric model, wherein the output includes the estimate of the extent of damage on the one or more components; 
 generating, via the dynamic process control model, an operating response of the installed product to the received estimate output; 
 in response to receipt of the estimate output, executing the true-up model; and 
 generating, via execution of the true-up model, the plan to reduce uncertainty of the estimate output. 
   
     
     
         2 . The system of  claim 1 , wherein the computer is programmed with a performance metric model for generating an estimate of system-level operating performance on at least one of one or more asset and one or more coupled systems; and wherein the computer is further programmed with the true-up model for generating the plan to reduce an uncertainty of the estimate of system-level operating performance provided by the performance metric model. 
     
     
         3 . The system of  claim 1 , wherein the control action is an automated perturbation of the installed product or a specific physical measurement. 
     
     
         4 . The system of  claim 1 , wherein the processor is further operative with the additional program instructions to perform functions as follows:
 executing the control action.   
     
     
         5 . The system of  claim 1 , wherein the control action includes at least one of an inspection of the one or more components, execution of an in-operation test sequence associated with the one or more components, and execution of an in-operation data burst associated with the one or more components. 
     
     
         6 . The system of  claim 1 , wherein a sequence and use of true-up modalities are computed to maximize a specificity required for operational control at a desired confidence interval at one or more intervals of time. 
     
     
         7 . The system of  claim 1 , wherein the estimate of the extent of damage is for one or more sub-components of the one or more components. 
     
     
         8 . The system of  claim 1 , wherein the estimate of the extent of damage is for one or more assets in a process or system. 
     
     
         9 . The system of  claim 1 , wherein the processor is further operative with the additional program instructions to perform functions as follows:
 in response to receipt of the estimate output, determining the uncertainty associated with the estimate output; and   determining the determined uncertainty is too high prior to executing the true-up model.   
     
     
         10 . The system of  claim 7 , wherein the processor is further operative with the additional program instructions to perform functions as follows:
 determining a first uncertainty associated with the estimate output for each of the one or more sub-components;   and identifying one or more estimate outputs to reduce uncertainty via execution of the true-up model.   
     
     
         11 . The system of  claim 10 , wherein the processor is further operative with the additional program instructions to perform functions as follows:
 quantifying an amount of uncertainty reduction for each of the identified one or more estimate outputs.   
     
     
         12 . The system of  claim 11 , wherein execution of the control action further comprises,
 generating at least one of an inspection method, an in-operation test sequence method and an in-operation data burst method; and   determining a second uncertainty associated with each of the inspection method, the in-operation test sequence method and the in-operation data burst method.   
     
     
         13 . The system of  claim 12 , wherein generating the control action to reduce uncertainty of the estimate output is based on the determined second uncertainty. 
     
     
         14 . The system of  claim 9 , wherein determining the determined uncertainty is too high is based on a non-damage related metric. 
     
     
         15 . The system of  claim 14 , wherein the determined uncertainty is based on an aggregate of two or more uncertainties, each associated with the estimate of the extent of damage associated with the component. 
     
     
         16 . The system of  claim 15 , further comprising:
 determining an effect of each of two or more uncertainties on the aggregate uncertainty.   
     
     
         17 . The system of  claim 16 , further comprising:
 based on a determination that a first one of the two or more uncertainties affects the aggregate uncertainty more than at least a second one of the two or more uncertainties, executing the true-up model to true-up the estimate output associated with the first uncertainty.   
     
     
         18 . A method comprising:
 receiving, at a damage metric model, state data associated with one or more components of an installed product;   generating, via the damage metric model, an estimate output of an extent of damage on the one or more components;   receiving the estimate output at a damage module;   generating, via a dynamic process control model, an operating response of the installed product to the received estimate output; and   in response to receiving the estimate output, executing a true-up model to generate a control action to reduce uncertainty of the estimate output.   
     
     
         19 . The method of  claim 18 , further comprising:
 generating an estimate of system-level operating performance on at least one of one or more asset and one or more coupled systems via a performance metric model; and   generating the control action, via the true-up model, to reduce an uncertainty of the estimate of system-level operating performance provided by the performance model.   
     
     
         20 . The method of  claim 18 , wherein the control action is an automated perturbation of the installed product or a specific physical measurement.