Journal
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 140, Issue -, Pages 49-60Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.chemolab.2014.10.002
Keywords
Kernel concurrent projection to latent structure (KCPLS); Fault reconstruction; Fault diagnosis; Fault-relevant direction
Ask authors/readers for more resources
In this paper, a new kernel concurrent projection to latent structure (KCPLS) reconstruction method for process monitoring is proposed. The main contributions of the proposed approach are as follows: (1) the KCPLS method provides a complete monitoring of faults that happen in the predictable output subspace and the unpredictable output-residual subspace; (2) after the fault reconstruction approach is proposed, the fault-relevant direction is determined; (3) the fault is effectively diagnosed compared to the conventional KPLS method. The proposed method is applied to penicillin fermentation process and is compared to the KPLS method. Experiment results show that the KCPLS can more accurately detect the fault compared to the KPLS method. In addition, the fault-relevant direction is identified more effectively by using the KCPLS reconstruction algorithm compared to the KPLS reconstruction approach. (C) 2014 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available