Sensor Location for Enhancing Fault Diagnosis
Author:
Affiliation:
1. Planta Piloto de Ingeniería Química, Universidad Nacional del Sur - CONICET, Camino La Carrindanga km 7, 8000, Bahía Blanca, Argentina
Funder
Consejo Nacional de Investigaciones Cient??ficas y T??cnicas
Universidad Nacional del Sur
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.6b02288
Reference19 articles.
1. A review of process fault detection and diagnosis
2. Data-based latent variable methods for process analysis, monitoring and control
3. Review of Recent Research on Data-Based Process Monitoring
4. Process Plant Instrumentation
5. Li, F.Dynamic Modeling, Sensor Placement Design, and Fault Diagnosis of Nuclear Desalination Systems. Ph.D. Thesis,University of Tennessee,Knoxville, TN, May 2011.
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