Taking the automatic tool changing system of the disc-type tool magazine manipulator in the machining center as the research object,adopts the Laplace wavelet to construct the parameter pulse dictionary,uses the split augmented Lagrangian shrinkage algorithm to solve the sparse representation coefficient,and extracts the vibration during the automatic tool changing cycle.The transient characteristics of the signal are characterized by parameters such as frequency,damping ratio,occurrence time,etc.,which realizes the accurate extraction of system fault characteristics,improves the accuracy of state analysis and diagnosis of the automatic tool changing system,prolongs the normal working time of the automatic tool changehe system,and enhances the reliability of the system.
automatic tool changer systemfault diagnosissparse signal processing
国家科技期刊平台
NSTL
维普
万方数据
