Fault Diagnosis Based on Fuzzy Support Vector Machine with Parameter Tuning and Feature Selection
Author:
Publisher
Elsevier BV
Subject
General Chemical Engineering,General Chemistry,Biochemistry,Environmental Engineering
Reference20 articles.
1. “Model-based fault diagnosis in technical processes”;Frank;Trans. Inst. Meas. and Control,2002
2. “A review of process fault detection and diagnosis Part I: Quantitative model-based methods”;Venkatasubramanian;Comput. Chem. Eng.,2003
3. Robust Model-based Fault Diagnosis for Dynamic Systems;Chen,1999
4. “A review of process fault detection and diagnosis Part III: Process history based methods”;Venkatasubramanian;Comput. Chem. Eng.,2003
5. “Fault diagnosis based on Fisher discriminant analysis and support vector machines”;Chiang;Comput. Chem. Eng.,2004
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