Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chiranjivi Botre"'
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:
Jonathan P. Raftery, Xinghua Pan, Chiranjivi Botre, Melanie R. DeSessa, Tejasvi Jaladi, M. Nazmul Karim
Publikováno v:
Industrial & Engineering Chemistry Research. 58:2235-2245
The measurement or estimation of bioprocess states is critical for process control and optimization applications. However, certain disturbances or unknown inputs can generate significant model–plant mismatch if not considered by the process models.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43f4e0e4d1f86ea92a3d6fc208c5a7f5
https://doi.org/10.1021/acs.iecr.8b02235
https://doi.org/10.1021/acs.iecr.8b02235
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
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 Loss Prevention in the Process Industries. 46:143-153
Fault detection is necessary to assure safe operations of plant and productivity at desired level. Most of the industrial process data are highly correlated, which causes an issue with analyzing huge process data. To address this issue, the Partial l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba9831bf68b25fda8534e1d0dd82acf0
https://doi.org/10.1016/j.jlp.2017.01.008
https://doi.org/10.1016/j.jlp.2017.01.008
Publikováno v:
Journal of Loss Prevention in the Process Industries. 43:212-224
Fault detection is essential for proper and safe operation of various chemical processes, and it has recently become even more important than ever before. In this paper, we extended our previous work (Mansouri et al. (2016)), which addresses the prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1acb3c47bdbb785f16876679ff316f06
https://doi.org/10.1016/j.jlp.2016.05.023
https://doi.org/10.1016/j.jlp.2016.05.023
Autor:
Mohammad Nazmul Karim, Mohamed Nounou, Mohammed Ziyan Sheriff, Majdi Mansouri, Chiranjivi Botre, HazemNounou
Publikováno v:
Fault Diagnosis and Detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36434fab5727224654a801f3e4b84509
http://www.intechopen.com/articles/show/title/process-monitoring-using-data-based-fault-detection-techniques-comparative-studies
http://www.intechopen.com/articles/show/title/process-monitoring-using-data-based-fault-detection-techniques-comparative-studies
