Comparison of MPCAV, ARPCA, and BDPCA fault detection performance in a fed-batch penicillin fermentation process

2009 ◽  
Vol 42 (8) ◽  
pp. 840-845
Author(s):  
J. Vanlaer ◽  
G. Gins ◽  
J.F.M. Van Impe
Keyword(s):  
Fault Detection ◽  
Fermentation Process ◽  
Detection Performance ◽  
Fed Batch ◽  
Penicillin Fermentation

scholarly journals The emergence of feedforward periodicity for the fed-batch penicillin fermentation process

2018 ◽  
Vol 51 (32) ◽  
pp. 130-135
Author(s):  
Chi Zhai ◽  
Tong Qiu ◽  
Ahmet Palazoglu ◽  
Wei Sun
Keyword(s):  
Fermentation Process ◽  
Fed Batch ◽  
Penicillin Fermentation

scholarly journals Design of Robust Fault Detection Scheme for Penicillin Fermentation Process

2015 ◽  
Vol 48 (21) ◽  
pp. 589-594 ◽  
Author(s):  
Abdul Rehman Khan ◽  
Abdul Qayyum Khan ◽  
Muhammad Taskeen Raza ◽  
Muhammad Abid ◽  
Ghulam Mustafa
Keyword(s):  
Fault Detection ◽  
Fermentation Process ◽  
Detection Scheme ◽  
Robust Fault Detection ◽  
Penicillin Fermentation

scholarly journals Fault Detection for Industrial Processes

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Yingwei Zhang ◽  
Lingjun Zhang ◽  
Hailong Zhang
Keyword(s):  
Fault Detection ◽  
Fermentation Process ◽  
Industrial Processes ◽  
Statistical Techniques ◽  
Tennessee Eastman Process ◽  
Detection Approach ◽  
Principal Directions ◽  
Residual Space ◽  
Simulation Results ◽  
Penicillin Fermentation

A new fault-relevant KPCA algorithm is proposed. Then the fault detection approach is proposed based on the fault-relevant KPCA algorithm. The proposed method further decomposes both the KPCA principal space and residual space into two subspaces. Compared with traditional statistical techniques, the fault subspace is separated based on the fault-relevant influence. This method can find fault-relevant principal directions and principal components of systematic subspace and residual subspace for process monitoring. The proposed monitoring approach is applied to Tennessee Eastman process and penicillin fermentation process. The simulation results show the effectiveness of the proposed method.

Fault detection performance of multi-mode transmission reflection analysis for few-mode fiber link

2021 ◽  
Author(s):  
Wenping Zhang ◽  
Feng Liu ◽  
Zhenxing He ◽  
Lixin Xu ◽  
Guijun Hu
Keyword(s):  
Fault Detection ◽  
Detection Performance ◽  
Fiber Link ◽  
Multi Mode
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