A hybrid approach to faults detection and diagnosis in batch and semi-batch reactors by using EKF and neural network classifier-Reference-Cited by-同舟云学术

A hybrid approach to faults detection and diagnosis in batch and semi-batch reactors by using EKF and neural network classifier

Published:2012-07 Issue:4 Volume:25 Page:694-702
ISSN:0950-4230
Container-title:Journal of Loss Prevention in the Process Industries
language:en
Short-container-title:Journal of Loss Prevention in the Process Industries

Author:

Benkouider A.M.,Kessas R.,Yahiaoui A.,Buvat J.C.,Guella S.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

Reference38 articles.

1. On-line dynamic optimization and control strategy for improving the performance of batch reactors;Arpornwichanop;Chemical Engineering and Processing,2005

2. A genetic algorithm with decimal coding for the estimation of kinetic and energetic parameters;Balland;Chemometrics and Intelligent Laboratory Systems,2000

3. On-board component fault detection and isolation using the statistical local approach;Basseville;Automatica,1998

4. Benkouider, A. M. (2007). Contribution à la détection et diagnostic de défauts dans les réacteurs semi-continus et discontinus, Ph.D. Thesis. Rouen: University of Rouen-French.

5. Fault detection in semi-batch reactor using the EKF and statistical method;Benkouider;Journal of Loss Prevention in the Process Industries,2009

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid model- and learning-based fault diagnosis in adaptive buildings;Control Engineering Practice;2024-10

2. Real-time risk prediction of chemical processes based on attention-based Bi-LSTM;Chinese Journal of Chemical Engineering;2024-08

3. Bond Graph-CNN based hybrid fault diagnosis with minimum labeled data;Engineering Applications of Artificial Intelligence;2024-05

4. Diagnosis-based domain-adaptive design using designable data augmentation and Bayesian transfer learning: Target design estimation and validation;Applied Soft Computing;2023-08

5. Machine Learning in Process Safety and Asset Integrity Management;Machine Learning in Chemical Safety and Health;2022-10-21