Stationarity test and Bayesian monitoring strategy for fault detection in nonlinear multimode processes-Reference-Cited by-同舟云学术

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Stationarity test and Bayesian monitoring strategy for fault detection in nonlinear multimode processes

Published:2017-09 Issue: Volume:168 Page:45-61
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Zhang Shumei,Zhao Chunhui

Funder

National Natural Science Foundation of China

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference35 articles.

1. Real-time monitoring for a process with multiple operating modes;Hwang;Control Eng. Pract.,1999

2. Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: a review of researches and future challenges;Khaoula;Annu. Rev. Control,2016

3. Fault detection of multimode process based on local neighbor normalized matrix;Guo;Chemom. Intell. Lab. Syst.,2016

4. Subspace decomposition and critical phase selection based cumulative quality analysis for multiphase batch processes;Qin;Chem. Eng. Sci.,2017

5. Defining the structure of DPCA models and its impact on process monitoring and prediction activities;Rato;Chemom. Intell. Lab. Syst.,2013

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