Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Ziyan Sheriff"'
Publikováno v:
In Computers and Chemical Engineering 8 May 2020 136
Publikováno v:
Chemical Engineering Research and Design. 184:233-245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19ecae318ada2fdf13155a30042e63e2
https://doi.org/10.1016/j.cherd.2022.05.022
https://doi.org/10.1016/j.cherd.2022.05.022
Publikováno v:
Journal of Process Control. 108:68-85
This work deals with the problem of designing functional observers for fault diagnosis in nonlinear systems in the presence of noises. It follows up previous work of the authors on design of functional observers (residual generators) for deterministi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83241e2d2f93d0a08f70cb6d93f4807b
https://doi.org/10.1016/j.jprocont.2021.10.001
https://doi.org/10.1016/j.jprocont.2021.10.001
Autor:
Parth Shah, M. Ziyan Sheriff, Mohammed Saad Faizan Bangi, Costas Kravaris, Joseph Sang‐Il Kwon, Chiranjivi Botre, Junichi Hirota
Publikováno v:
AIChE Journal. 69
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c90e43b72396031798f3afc9805e92
https://doi.org/10.1002/aic.17946
https://doi.org/10.1002/aic.17946
Autor:
Rexonni B. Lagare, Mariana Araujo da Conceicao, Ariana Camille Acevedo Rosario, Katherine Leigh Young, Yan-Shu Huang, M. Ziyan Sheriff, Clairmont Clementson, Paul Mort, Zoltan Nagy, Gintaras V. Reklaitis
Publikováno v:
ESCAPE
Computer Aided Chemical Engineering ISBN: 9780323958790
Computer Aided Chemical Engineering ISBN: 9780323958790
We report progress of an ongoing work to develop a virtual sensor for flowability, which is a critical tool for enabling real time process monitoring in a granulation line. The sensor is based on camera imaging to measure the size and shape distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::308df1290f2c6b9ab7a78dc485a126a6
https://europepmc.org/articles/PMC9923503/
https://europepmc.org/articles/PMC9923503/
Autor:
M. Ziyan Sheriff, Yan-Shu Huang, Gintaras V. Reklaitis, Sunidhi Bachawala, Marcial Gonzalez, Zoltan K. Nagy
Publikováno v:
Processes
Volume 9
Issue 9
Processes, Vol 9, Iss 1612, p 1612 (2021)
Department of Chemistry Faculty Publications
Volume 9
Issue 9
Processes, Vol 9, Iss 1612, p 1612 (2021)
Department of Chemistry Faculty Publications
The transition from batch to continuous processes in the pharmaceutical industry has been driven by the potential improvement in process controllability, product quality homogeneity, and reduction of material inventory. A quality-by-control (QbC) app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f7cb26416301063f9b57db759278578
Autor:
Parth Shah, M. Ziyan Sheriff, Mohammed Saad Faizan Bangi, Costas Kravaris, Joseph Sang-Il Kwon, Chiranjivi Botre, Junichi Hirota
Publikováno v:
Chemical Engineering Journal. 441:135643
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81ae1b6c350c3447bef1b0379c9bdcef
https://doi.org/10.1016/j.cej.2022.135643
https://doi.org/10.1016/j.cej.2022.135643
Publikováno v:
ACC
Monitoring techniques play an important role in ensuring consistent product quality and safe operation in the process industry. Data-based models such Principal Component Analysis (PCA) are utilized as they are computationally efficient, and can hand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c711207dedcccd9f8102764cf9a506a
https://doi.org/10.23919/acc50511.2021.9483359
https://doi.org/10.23919/acc50511.2021.9483359
Autor:
Parth Shah, Ziyan Sheriff, Mohammed Saad Faizan Bangi, Costas Kravaris, Joseph Kwon, Chiranjivi Botre, Junichi Hirota
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d5a087628c34497fcc61bcb24e436f8
https://doi.org/10.2139/ssrn.3978852
https://doi.org/10.2139/ssrn.3978852
Publikováno v:
Journal of Computational Science. 27:227-246
Statistical process monitoring is a key requirement for many industrial processes. Many of these processes utilize Principal Component Analysis (PCA) in order to carry out statistical process monitoring due to its computational simplicity. Two fault
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ce4f319415206d39960db944b2cbeee
https://doi.org/10.1016/j.jocs.2018.05.013
https://doi.org/10.1016/j.jocs.2018.05.013