Abstract
The paper first presents a comprehensive description of some hot problems in statistical modeling,online monitoring,and quality prediction for batch process based on multivariate statistical techniques,including the development of various solutions and their advantages and disadvantages.Then,phase-based statistical analysis strategies are addressed with a focus on the multiplicity of operation phase and phase transition behaviors.This part analyzes the phase-based process characteristics and their effects on product quality,discusses the inherent basis,and reveals their significance.Finally,from the viewpoint of solving practical problems,the existing problems are explored and their prospective development is discussed.Phase-based statistical analysis for batch processes is important in both theory meaning and application,which will benefit further process monitoring,fault diagnosis and quality prediction.
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.
