Mid, EC;
Dua, V;
(2018)
Fault detection of fermentation processes.
Computer Aided Chemical Engineering
, 43
pp. 1171-1176.
10.1016/B978-0-444-64235-6.50204-7.
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Abstract
Fault detection is becoming an important issue in fermentation processes. Any improper formulation or contamination in the fermentation may change the kinetic model parameters and lead to a process fault. In this work, a square system of parametric nonlinear algebraic equations is formulated and solved symbolically to obtain the kinetic model parameters as an explicit function of measurements, so as to estimate the parameters to detect and diagnose the faults in fermentation processes. A number of scenarios are considered to show the effectiveness of the presented approach. The proposed approach successfully estimates the model parameters and detects the faults in the system.
| Type: | Article |
|---|---|
| Title: | Fault detection of fermentation processes |
| DOI: | 10.1016/B978-0-444-64235-6.50204-7 |
| Publisher version: | https://doi.org/10.1016/B978-0-444-64235-6.50204-7 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Fault detection, fermentation, parameter estimation, multiparametric programming |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10111724 |
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