Binary particle swarm optimization based process knowledge mining for typical parts of satellite

The huge quantity of design of manufacturing process of satellite typical parts and a lot of repeated jobs existed in the process. Many kinds of process knowledge without reused effectively contained in the historical process data. Process knowledge mining algorithm was studied in order to increase efficiency. The problem was described firstly, and the association rule model was built. In order to improve computational efficiency of Apriori algorithm for huge datasets, binary particle swarm optimization(BPSO) was introduced. Meanwhile association rule mining algorithm based on BPSO was designed. Finally, the designed algorithm was used in process knowledge mining for satellite plate. The mining efficiency of process knowledge can be improved effectively by the association rule mining algorithm based on BPSO.