TY - GEN
T1 - Fault detection of chemical processes using improved generalized likelihood ratio test
AU - Mansouri, Majdi
AU - Nounou, Hazem
AU - Harkat, Mohamed Faouzi
AU - Nounou, Mohamed
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/3
Y1 - 2017/11/3
N2 - In this paper, we address the problem of fault detection (FD) of chemical processes using improved generalized likelihood ratio test. The improved GLRT is the method that combines the advantages of the exponentially weighted moving average (EWMA) filter with those of the GLRT method. The idea behind the developed EWMA-GLRT is to compute a new GLRT statistic that integrates current and previous data information in a decreasing exponential fashion giving more weight to the more recent data. The FD problem will be addressed so that the kernel partial least square (KPLS) is used as a modeling framework and the generated residuals are evaluated using the developed EWMA-GLRT chart. The KPLS model is capable of dealing with high dimensional input-output nonlinear and multivariate data. Therefore, in this paper, KPLS-based EWMA-GLRT method will be utilized in practice to help improve FD of chemical processes.
AB - In this paper, we address the problem of fault detection (FD) of chemical processes using improved generalized likelihood ratio test. The improved GLRT is the method that combines the advantages of the exponentially weighted moving average (EWMA) filter with those of the GLRT method. The idea behind the developed EWMA-GLRT is to compute a new GLRT statistic that integrates current and previous data information in a decreasing exponential fashion giving more weight to the more recent data. The FD problem will be addressed so that the kernel partial least square (KPLS) is used as a modeling framework and the generated residuals are evaluated using the developed EWMA-GLRT chart. The KPLS model is capable of dealing with high dimensional input-output nonlinear and multivariate data. Therefore, in this paper, KPLS-based EWMA-GLRT method will be utilized in practice to help improve FD of chemical processes.
UR - http://www.scopus.com/inward/record.url?scp=85040362136&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2017.8096094
DO - 10.1109/ICDSP.2017.8096094
M3 - Conference contribution
AN - SCOPUS:85040362136
T3 - International Conference on Digital Signal Processing, DSP
BT - 2017 22nd International Conference on Digital Signal Processing, DSP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 22nd International Conference on Digital Signal Processing, DSP 2017
Y2 - 23 August 2017 through 25 August 2017
ER -