Quality prediction of complex manufacturing processes based on fuzzy Petri Nets

Quality prediction capability plays a crucial role in ensuring high quality of products as well as reliability of systems during manufacturing processes. In this study, the prediction reasoning mechanism based on fuzzy Petri nets (FPNs) is presented. The feasibility and validity of the reasoning mechanism are proved. A quality prediction model and reasoning process is presented for submerged arc welding process. This application example illustrates the proposed method based on FPNs predict the potential quality problems and quality accidents effectively.