An On-Machine Measurement Method for Touch-Trigger Probe Based on RBFNN

The touch-trigger probe is a kind of sensor installed in a machining center to measure the dimension of the work piece. A method for On-Machine Measurement (OMM) and its error compensation by the probe based on Radial Basis Function Neural Network (RBFNN) is advanced in this study. The advantages and disadvantages for touch-trigger probe of OMM system are discussed. Major factors that influence the probe measurement precision are analyzed. The measurement error compensation based on RBFNN is presented. At last the experimental system with touch-trigger probe is put forward and the experiment indicated that, using the touch-trigger probe makes on-machine measurement more automatic and efficient and by using RBFNN for error compensation make on-machine measurement more precise.