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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

, 2021
F. Harrou   +4 more
semanticscholar   +1 more source

Statistical Process Control based Energy Monitoring of Chemical Processes

2014
Abstract Advanced chemical process systems expected to maximize productivity and minimize cost and emission. Cost reduction needs Energy Monitoring and Targeting Systems that calculate actual energy usage, estimate energy needs at normal operation and highlight issues related to energy efficiency.
Tibor Kulcsar   +4 more
openaire   +1 more source

Using Statistical Process Control to monitor milking process

2017
Twenty milking parlours of Northern Italy were involved in a field study over one year. Milking performance data were extracted from the herd management software of each milking parlour at each milking session. Through the Principal Components Analysis, two new variables were identified (principal components) that can be interpreted as a synthetic ...
F.M. Tangorra, Melzi C.
openaire   +1 more source

Statistical Monitoring of Multi-Stage Processes

2018
In many complex processes, such as semiconductor manufacturing or production of mass storage systems, a large number of variables are monitored simultaneously. These variables can typically be impacted by several points of the manufacturing process, necessitating efforts that include not only monitoring but also diagnostics involving establishing ...
openaire   +1 more source

Statistical Process Monitoring and Optimization

Journal of the American Statistical Association, 2000
null RVL   +2 more
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Advanced statistical techniques for process monitoring

2014
The book aims to give a thorough treatment of statistical process monitoring techniques, in particular control charts. This book is aimed at practitioners with little mathematical and statistical background and includes basic techniques for standard / ideal situations.
Di Bucchianico, A.   +1 more
openaire   +1 more source

Application of Multivariate Statistical Process Monitoring to Lyophilization Process

2015
This chapter illustrates the concept of multivariate statistical process monitoring (MSPM) with data from a biopharmaceutical drug product lyophilization process. It provides the practitioner with steps needed for pretreatment of the data, modeling, and testing phases of the approach.
openaire   +1 more source

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