Using neural networks for fault detection in a distillation column

被引：6

作者：

Manssouri, I. ^{[1
]}

Chetouani, Y. ^{[1
]}

El Kihel, B. ^{[2
]}

机构：

[1] Univ Rouen France, Dept Genie Chim, Rue Lavoisier, F-76130 Mont St Aignan, France

[2] ENSA, Lab Genie Ind & Prod Mecan, Oujda 60000, Morocco

来源：

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2008年 / 32卷 / 03期

关键词：

classification; distillation column; fault detection; process safety; radial basis function; RBF; reliability;

D O I：

10.1504/IJCAT.2008.020953

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Several methods of fault detection have been put to testing with the purpose of securing the installations and reducing the risks of accidents. This paper presents a new approach of fault detection based on the realisation of a Bayesian neural separate at radial basis functions. In this paper, our contribution consists of demonstrating the way this kind of network can be used as faults separate, applied to a continuous distillation column containing a binary mixture of toluene/methylcyclohexane. The latter is carried out through the use of test base containing two operating modes: normal and abnormal.

引用

页码：181 / 186

页数：6

共 50 条

[41] Fault detection in centrifugal pumping systems using neural networks
A.K. College of Engineering, Tamil Nadu, Krishnankoil-626190, India
不详
Int. J. Model. Ident. Control, 2008, 2 (131-139):
[42] USING NEURAL NETWORKS FOR FAULT DETECTION IN PLANAR ANTENNA ARRAYS
Vakula, D.
Sarma, N. V. S. N.
PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS, 2010, 14 : 21 - 30
[43] Fault Detection in DC Microgrids using Recurrent Neural Networks
Grcic, Ivan
Pandzic, Hrvoje
2021 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST), 2021,
[44] A fault detection and identification system for gearboxes using neural networks
Sadeghi, MH
Rafiee, J
Arvani, F
Harifi, A
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3, 2005, : 964 - 969
[45] Uncertainty quantification in fault detection using convolutional neural networks
Feng, Runhai
Grana, Dario
Balling, Niels
GEOPHYSICS, 2021, 86 (03) : M41 - M48
[46] Vibration fault detection of large turbogenerators using neural networks
Kerezsi, Brian
Howard, Ian
IEEE International Conference on Neural Networks - Conference Proceedings, 1995, 1 : 121 - 126
[47] Actuator and Sensor Fault Detection and Isolation System Applied to a Distillation Column
Ortiz-Torres, Gerardo
Valdez-Resendiz, Jesus E.
Torres-Cantero, Carlos Alberto
Rumbo-Morales, Jesse Yoe
Ramos-Martinez, Moises Bulmaro
Valdez-Martinez, Jorge Salvador
IEEE ACCESS, 2023, 11 : 48548 - 48558
[48] Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks
Khorasgani, Hamed
Hasanzadeh, Arman
Farahat, Ahmed
Gupta, Chetan
2019 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2019,
[49] Composition estimations in a middle-vessel batch distillation column using artificial neural networks
Zamprogna, E
Barolo, M
Seborg, DE
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2001, 79 (A6): : 689 - 696
[50] Experimental study and nonlinear modelling by artificial neural networks of a distillation column
Chetouani Y.
International Journal of Reliability and Safety, 2010, 4 (2-3) : 265 - 284

← 1 2 3 4 5 →