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White-box/Grey-box/Black-box models for Digital Twins
There are techniques in AI/ML to solve all of the above challenges. For example Recurrent Neural Network (RNN) can be used to process the time evolution data to build a classification model. As the system's behavior under each type of fault can be different , now with the Fault classification model using RNN whenever a fault occurs and the subsequent pattern of data helps in determining the type of fault. This is also know as Fault Diagnosis. When twin models are developed us
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