A Methodology for Fault Detection, Isolation, and Identification for Nonlinear Processes with Parametric Uncertainties-Reference-Cited by-同舟云学术

A Methodology for Fault Detection, Isolation, and Identification for Nonlinear Processes with Parametric Uncertainties

Published:2004-09-15 Issue:21 Volume:43 Page:6774-6786
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Rajaraman Srinivasan¹,Hahn Juergen¹,Mannan M. Sam¹

Affiliation:

1. Mary Kay O'Connor Process Safety Center, Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, and Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie0400806

Reference35 articles.

1. Nonlinear inferential control for process applications

2. State and parameter estimations and their applications in process control

3. Robust Model-Based Fault Diagnosis for Dynamic Systems

4. Deterministic nonlinear observer-based approaches to fault diagnosis: A survey

5. Survey of robust residual generation and evaluation methods in observer-based fault detection systems

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