General Electric Company
METHOD AND SYSTEM FOR COMPETENCE MONITORING AND CONTIGUOUS LEARNING FOR CONTROL

Abstract:

According to some embodiments, system and methods are provided, comprising a competence module to receive data from at least one data source; a memory for storing program instructions; a competence processor, coupled to the memory, and in communication with the competence module, and operative to execute program instructions to: receive an objective; select a machine learning model associated with the objective; receive data from the at least one data source; determine at least one next input based on the received data; determine whether the at least one next input is in a competent region or is in an incompetent region of the machine learning model; when the at least one next input is inside the competent region, generate an output of the machine learning model; determine an estimate of uncertainty for the generated output of the machine learning model; when the uncertainty is below an uncertainty threshold, determine the machine learning model is competent and when the uncertainty is above the uncertainty threshold, determine the machine learning model is incompetent; and operate the physical asset based on the state of the machine learning model, where the state is one of competent and incompetent. Numerous other aspects are provided.