According to the process information

operation procedure and historical data of polyvinylchloride (PVC) industrial process

a dynamic simulation model of vinyl chloride (VCM) suspension polymerization batch process was built with Aspen. Normal simulated vaccine (SV) and fault simulated vaccine which generated by various simulated samples

combining industrial practical data

constructed normal antibody library and fault antibody libraries. This method could deal with the limitation of historical fault samples in fault diagnosis of vinyl chloride polymerization process. Artificial immune system (AIS) based on dynamic time warping (DTW) algorithm was applied to fault diagnosis of this polymerization batch process

which shows great performance.