The present application relates to a kind of main hoist
remaining life prediction method and device, wherein, method includes: S1, the vibration
time series data and working condition parameter
time series data of the main hoist to be measured are acquired, and the measured vibration
signal and measured working condition parameter
signal of single operation are segmented, detection data group is constructed and
time information is generated;S2, using detection data group to identify working condition, input the first self-encoding model corresponding to working condition, obtain the vibration
signal after reconstruction and physical constraint residual, and the model is based on physical constraint dynamics equation to build;S3, total deviation is calculated according to reconstructed signal and physical constraint residual, and deviation sequence is obtained according to
time sequence;S4, failure curve is generated based on deviation sequence, and then the
remaining life is obtained.The present application can effectively separate working condition influence, fusion physical priori knowledge, realize accurate and reliable life prediction under the condition of variable working condition and
variable load.