Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Marziyeh Keshavarz"'
Autor:
Biao Huang, Marziyeh Keshavarz
Publikováno v:
Computers & Chemical Engineering. 69:128-146
Data analysis plays an important role in system modeling, monitoring and optimization. Among those data analysis techniques, change point detection has been widely applied in various areas including chemical process, climate monitoring, examination o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7ad94b55a43b05455804cd5760a640e
https://doi.org/10.1016/j.compchemeng.2014.06.016
https://doi.org/10.1016/j.compchemeng.2014.06.016
Autor:
Marziyeh Keshavarz, Biao Huang
Publikováno v:
Computers & Chemical Engineering. 60:339-353
Process data are the most important information in all aspects of plant monitoring and control applications. These data, stemming from instruments, carry the necessary information that assists plant operations. One of the common problems of process i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf13d424960e910a7d04b7b5f10ae7d7
https://doi.org/10.1016/j.compchemeng.2013.09.012
https://doi.org/10.1016/j.compchemeng.2013.09.012
Autor:
Enbo Feng, Elom Ayih Domlan, Yu Miao, Shima Khatibisepehr, Aris Espejo, Marziyeh Keshavarz, Swanand Khare, Xinguang Shao, Fangwei Xu, Biao Huang, Yu Zhao, Elham Naghoosi, Ramesh Kadali
Publikováno v:
The Canadian Journal of Chemical Engineering. 91:1416-1426
Oil sands development is both a costly and technically complex business with potential concerns in land use, water consumption and greenhouse gas emissions. Therefore, it is of practical interest to further investigate novel techniques to improve pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::393a0d1a721d30f2b8ef3e56f7e76729
https://doi.org/10.1002/cjce.21833
https://doi.org/10.1002/cjce.21833
Autor:
Marziyeh Keshavarz, Biao Huang
Publikováno v:
ICCA
Accuracy of process measurements is critical in process operation and control. However, in reality, miscalibration or malfunctioning of instruments may introduce bias or gross error resulting in abnormal process operation and poor control performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::597f835e37b25d3d0aa5a815c62b645d
https://doi.org/10.1109/icca.2013.6564988
https://doi.org/10.1109/icca.2013.6564988
Publikováno v:
International Journal of Mathematics in Operational Research. 7:52
In this paper, we developed two models for a constrained multi products inventory control with stochastic demand under continuous review policy. We considered stochastic constraints such as warehouse space and restriction on order quantity. We assume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe5bba99a6488df30c5f5bad8b882c4
https://doi.org/10.1504/ijmor.2015.065957
https://doi.org/10.1504/ijmor.2015.065957
Autor:
دکتر بابک اجتماعی, دکتر مرضیه کشاورز
Publikováno v:
Geography & Development Iranian Journal / Jughrāfiyā va Tusi̒ah; Dec2022, Vol. 20 Issue 69, p128-151, 24p
Publikováno v:
Process Control System Fault Diagnosis; 2016, pi-xxvi, 22p
Autor:
Khatibisepehr, Shima, Huang, Biao, Domlan, Elom, Naghoosi, Elham, Zhao, Yu, Miao, Yu, Shao, Xinguang, Khare, Swanand, Keshavarz, Marziyeh, Feng, Enbo, Xu, Fangwei, Espejo, Aris, Kadali, Ramesh
Publikováno v:
Canadian Journal of Chemical Engineering; Aug2013, Vol. 91 Issue 8, p1416-1426, 11p
Process Control System Fault Diagnosis: A Bayesian Approach Ruben T. Gonzalez, University of Alberta, Canada Fei Qi, Suncor Energy Inc., Canada Biao Huang, University of Alberta, Canada Data-driven Inferential Solutions for Control System Fault Diagn
