TY  - JOUR
TI  - Fault detection of fermentation processes
AV  - restricted
Y1  - 2018///
EP  - 1176
N2  - 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.
ID  - discovery10111724
PB  - ELSEVIER SCIENCE BV
T3  - Computer Aided Chemical Engineering
KW  - Fault detection
KW  -  fermentation
KW  -  parameter estimation
KW  -  multiparametric programming
SP  - 1171
VL  - 43
N1  - This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions.
UR  - https://doi.org/10.1016/B978-0-444-64235-6.50204-7
JF  - Computer Aided Chemical Engineering
A1  - Mid, EC
A1  - Dua, V
ER  -