Abstract
Aimed at an integration system of SPC (statistical process control) and APC (automatic process control), the effect of APC on SPC detection capability is analyzed. In this paper, the process disturbance is assumed to be an ARMA (1, 1) process. BP Neural Network with good capability of mode identification is used to substitute traditional SPC technology. Then an integrated design methodology has been developed for APC and BP neural network monitoring for the purpose of process special cause. A simulation result reveals that BP Neural Networks can detect special cause quickly and ameliorate SPC monitoring capability effectively. The ARL performance is studied. Lots of simulation experiments reveal that the proposed design approaches outperform the traditional integrated scheme of SPC and APC.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
