Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Thomas F Petti"'
Publikováno v:
Applied Catalysis A: General. 169:95-109
Several commercial FCC equilibrium catalyst (ECAT) samples were examined by X-ray photoelectron spectroscopy (XPS) in an effort to characterize the nickel contaminants. It was found that the majority of the nickel was present as NiAl 2 O 4 or Ni 2 Si
Autor:
Daniel M. Trauth, Michael T. Klein, Matthew Neurock, Thomas F. Petti, Muzaffer Yasar, Scott M. Starck
Publikováno v:
Scopus-Elsevier
Today it is possible to stimulate molecular structure of petroleum resid with the Monte Carlo method. In this paper, the authors optimize the structural parameters using the reaction simulation. However, time simulation increase and the new model doe
Autor:
Thomas F. Petti, Prasad Dhurjati
Publikováno v:
Chemical Engineering Communications. 102:107-126
The implementation of a model-based fault diagnosis methodology is presented. An object-based representation is used and shown to allow for easy access to and maintenance of the process model. The ...
Publikováno v:
AIChE Journal. 36:565-575
Many recent attempts to use expert systems for process fault diagnosis have included information derived from deep knowledge. This information is generally implemented as a rule-based expert system. Drawbacks of this architecture are a lack of genera
Autor:
Thomas F. Petti, Lori T. Boock
FCC cracking operations that process resid-type feedstocks are often faced with the dilemma of managing significant levels of contaminant metals on their FCC catalyst inventory. Ni and V are of primary concern because of the ability of these metals t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca30551c9fca92aec027cb9567b71d42
https://doi.org/10.1016/s0167-2991(01)82320-x
https://doi.org/10.1016/s0167-2991(01)82320-x
Publikováno v:
ACS Symposium Series ISBN: 9780841234116
Deactivation and Testing of Hydrocarbon-Processing Catalysts
Deactivation and Testing of Hydrocarbon-Processing Catalysts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8107656866cad51f75601025b5e771c7
https://doi.org/10.1021/bk-1996-0634.ch012
https://doi.org/10.1021/bk-1996-0634.ch012
Publikováno v:
Artificial Intelligence in Industrial Decision Making, Control and Automation ISBN: 9789401041348
Computer assisted on-line monitoring and diagnosis is becoming an increasingly important part of modern process control systems. Diagnosis systems can be built from two different main principles: symptom-based diagnosis and model-based diagnosis. A s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d366aa97979fe68eab6e23e8c8e8f94b
https://doi.org/10.1007/978-94-011-0305-3_16
https://doi.org/10.1007/978-94-011-0305-3_16
Autor:
Michael T. Klein, Thomas F. Petti, Daniel M. Trauth, Matthew Neurock, Muzaffer Yasar, Scott M. Stark
Publikováno v:
Scopus-Elsevier
This paper presents a statistical approach to predict petroleum resid structure composition using Monte Carlo method. A comparison between experimental and analytical data give very good results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39893fc173a3b3d52729328f895b7cfb
http://www.scopus.com/inward/record.url?eid=2-s2.0-0027553767&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0027553767&partnerID=MN8TOARS
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