The application discloses a kind of based on
physical information neural network's fault rolling bearing angular
domain model construction method and
system, method includes: the instantaneous
angular displacement sequence and the
encoder instantaneous
angular velocity signal collected to
physical information neural network is input, the initial value of setting dynamics parameter;Bearing dynamics model is embedded in the training process of network, solve the angular variable vibration displacement of fault bearing
three degrees of freedom angular domain dynamics equation group, calculate disturbance torque;Physical loss is constructed;The residual of actual IAS is used as true value loss, and the overall loss is calculated in combination with physical loss;The
accurate estimation value of dynamics parameter is obtained by network, it is input into the IAS response under different fault types and working conditions in fault bearing dynamics model;The expansion of the sample of fault diagnosis
data set sample is completed using the generated sample obtained. It is used to improve the imbalance intelligent
diagnosis problem that normal sample amount is far more than fault sample under actual working condition, and the IAS
signal sample of fault bearing is supplemented.