The invention relates to the technical field of speed
reducer fault diagnosis, in particular to a precise speed
reducer intelligent fault diagnosis method based on multi-dimensional
encoder signals. The method comprises the steps of collecting an
encoder signal of an input end of a
reducer, and extracting an input angle position of the input end; collecting an
encoder signal at the output end of the speed reducer, and extracting an output angle position of the output end; obtaining the
transmission ratio of the reducer, and calculating a transmission error according to the input angular position, the output angular position and the
transmission ratio; calculating an output instantaneous
angular velocity and an output instantaneous
angular acceleration corresponding to the output angular position; performing data preprocessing on the transmission error, the output instantaneous
angular velocity and the output instantaneous
angular acceleration to obtain multi-dimensional fusion data; and inputting the multi-dimensional fusion data into a pre-trained fault diagnosis model to obtain the running state of the speed reducer.
Reducer fault
feature recognition is carried out based on the fused multidimensional encoder
time domain signals, the problem that the
signal type for fault diagnosis is single is solved, and the fault diagnosis precision is improved.