The invention discloses a rolling bearing modeling and model updating method and
system based on digital twinning. The method includes using a sensor for monitoring operation data of a rolling bearing in real time and preprocessing the operation data; carrying out
coupling modeling to obtain a dynamically updated digital twin model; inputting the normalized operation data into a digital twinborn model in real time, performing
simulation calculation on output data of the rolling bearing by using the digital twinborn model, comparing
simulation data of the digital twinborn model with the operation data in a corresponding time interval, and if a residual sequence is
white noise with a
zero mean value, collecting a corresponding rolling bearing digital twin model; otherwise, adjusting and correcting the parameters of the rolling bearing digital twinning model according to the
criterion function to obtain a real-time synchronous rolling bearing digital twinning model. The invention can reflect the
time history of the health state of the bearing, and provides a basis for fault diagnosis and life prediction of the rolling bearing.