A new fault detection method for non-Gaussian process based on robust independent component analysis

Author:

Cai Lianfang,Tian Xuemin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province of China

Fundamental Research Funds for the Central Universities

Postgraduate Innovation Funds of China University of Petroleum

Doctoral Fund of Shandong Province

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference39 articles.

1. Fault detection, identification and diagnosis using CUSUM based PCA;BinShams;Chemical Engineering Science,2011

2. Non-Gaussian process fault detection method based on modified KICA;Cai;CIESC Journal,2012

3. Process fault detection method using time-structure KICA and OCSVM;Cai;Journal of Tsinghua University (Science & Technology),2012

4. A process monitoring method based on noisy independent component analysis;Cai;Neurocomputing,2014

5. A non-Gaussian pattern matching based dynamic process monitoring approach and its application to cryogenic air separation process;Chen;Computers & Chemical Engineering,2013

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