Artificial neural network approach for fault detection in rotary system
Author:
Publisher
Elsevier BV
Subject
Software
Reference12 articles.
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2. Methods of fault diagnosis;Leonhardt;Int. J. Control Eng. Pract.,1997
3. A review of process fault detection and diagnosis, Part I: quantitative model-based methods;Venkatasubramanian;Int. J. Comput. Chem. Eng.,2003
4. A review of process fault detection and diagnosis, Part III: process history-based methods;Venkatasubramanian;Int. J. Comput. Chem. Eng.,2003
5. Robust detection and isolation of process faults using neural networks;Marcu;IEEE Control Syst.,1997
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