eprintid: 10111724
rev_number: 18
eprint_status: archive
userid: 608
dir: disk0/10/11/17/24
datestamp: 2020-10-13 15:33:51
lastmod: 2021-10-04 01:03:48
status_changed: 2020-10-13 15:33:51
type: article
metadata_visibility: show
creators_name: Mid, EC
creators_name: Dua, V
title: Fault detection of fermentation processes
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F43
keywords: Fault detection, fermentation, parameter estimation, multiparametric programming
note: This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions.
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.
date: 2018
date_type: published
publisher: ELSEVIER SCIENCE BV
official_url: https://doi.org/10.1016/B978-0-444-64235-6.50204-7
full_text_type: pub
language: eng
verified: verified_manual
elements_id: 1568290
doi: 10.1016/B978-0-444-64235-6.50204-7
lyricists_name: Dua, Vivek
lyricists_id: VDUAX49
actors_name: Dua, Vivek
actors_id: VDUAX49
actors_role: owner
full_text_status: restricted
series: Computer Aided Chemical Engineering
publication: Computer Aided Chemical Engineering
volume: 43
pagerange: 1171-1176
pages: 6
institution: 28th European Symposium on Computer-Aided Process Engineering (ESCAPE)
editors_name: Friedl, A
editors_name: Klemes, JJ
editors_name: Radl, S
editors_name: Varbanov, PS
editors_name: Wallek, T
citation:        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 <https://doi.org/10.1016/B978-0-444-64235-6.50204-7>.      
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10111724/1/ESCAPE%202018%20Fault%20detection%20of%20fermentation%20processes_v2.pdf