Cylindricity measurement system, method, electronic device and computer readable storage medium based on deep learning spindle error separation algorithm

Abstract

The application relates to the technical field of precision measurement, and provides a cylindricality measurement system and method based on a spindle error separation algorithm, an electronic device and a computer readable storage medium based on deep learning. A driving air floating rotary spindle and a column linear guide rail generate a measurement rotary reference and a linear measurement reference. A symmetric double probe is used to collect a radius change response to generate a spindle measurement original profile record. A same angle double probe response and a cross section continuous change response are analyzed to generate a spindle error coupling characteristic record. Multiple error components are identified and fitted to generate a spindle error separation profile record. A cylindricality measurement result is generated again, so that the sensitivity of the cylindricality measurement result to multiple coupling errors is relatively reduced, and the traceability of the cylindricality measurement result is improved.