GENERATING SOFT SENSORS FOR MECHANICAL SYSTEMS USING SPARSE IDENTIFICATION OF NONLINEAR DYNAMICS

A method of generating a soft sensor for a mechanical system includes defining a training dataset of sensor values received from at least one first sensor corresponding a first physical quantity. The method further includes training a Sparse Identification of Nonlinear Dynamics (SINDy) model using the training dataset to generate a mathematical function defining a relationship between the sensor values and soft sensor values corresponding to a second physical quantity. The method further includes embedding machine readable instructions based on the mathematical function into an embedded system of the mechanical system including at least one first sensor. The machine readable instructions, when executed by the embedded system, cause the embedded system to receive sensor values corresponding to the first physical quantity and generate soft sensor values based on the sensor values and the mathematical function.