Results 231 to 240 of about 15,402,643 (297)

MULTIVARIATE STATISTICAL TECHNIQUES FOR QUALITY CONTROL AND PROCESS MONITORING

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Multivariate statistical process monitoring of a distillation

, 2013
[ES] Se ha desarrollado un banco de pruebas basado en una columna de destilación utilizando MATLAB y Simulink. El software desarrollado permite la monitorización mediante PCA de diferentes perturbaciones y fallos simulados. Por otro lado, se han aplicado diversas técnicas de optimización para la sintonización de los controladores PI de la columna.
Villalba Torán, Pedro Miguel
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Multivariate statistical monitoring of the aluminium smelting process

Computers & Chemical Engineering, 2011
Abstract This paper describes the development of a new ‘cascade’ monitoring system for the aluminium smelting process that uses latent variable models. This system is based on the changes of variability patterns within a feeding cycle which are used to provide indications of faults and their possible causes.
Nazatul Aini Abd Majid, Mark P. Taylor, John J. J. Chen, Brent R. Young   +3 more
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Review of multivariate statistical process monitoring

2010 8th World Congress on Intelligent Control and Automation, 2010
A comprehensive literature survey of multivariate statistical process monitoring methods of recent years is presented. Principle component analysis based methods are reviewed according to their emphases on either data attributes, such as missing value, outliers, nonlinear, time-varying, serial correlation, non-Gaussian distribution and multi-scale, or ...
null Xiang Xie, null Hongbo Shi, null Wen Yang   +2 more
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A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis

Automatica, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhijiang Lou, Youqing Wang, Yabin Si, Shan Lu 0009   +3 more
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Statistical Process Monitoring and Disturbance Isolation in Multivariate Continuous Processes

IFAC Proceedings Volumes, 1994
Abstract Quick detection of out-of-control status and diagnosis of disturbances leading to the abnormal process operation are crucial in minimizing product quality variation. Multivariate statistical techniques are used in developing methodology for detection of abnormal process behavior and diagnosis of disturbances causing poor process performance.
Anne Raich, Ali Cinar
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An intelligent system for multivariate statistical process monitoring and diagnosis

ISA Transactions, 2002
A knowledge-based system (KBS) was designed for automated system identification, process monitoring, and diagnosis of sensor faults. The real-time KBS consists of a supervisory system using G2 KBS development software linked with external statistical modules for system identification and sensor fault diagnosis.
Eric, Tatara, Ali, Cinar
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Multivariate Statistical Process Control and Process Performance Monitoring

IFAC Proceedings Volumes, 1998
Abstract Multivariate Statistical Process Performance Monitoring (MSPPM) provides a diagnostic tool for the monitoring and detection of process malfunctions for continuous and batch manufacturing processes. This paper initially reviews the concept of process performance monitoring through an industrial application to a fluidised bed-reactor and a ...
E.B. Martin, A.J. Morris, C. Kiparissides   +2 more
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Multivariate Statistical Process Control in Batch Process Monitoring

IFAC Proceedings Volumes, 1996
Abstract Batch processing was widely practised long before the advent of the modern chemical industry. A number of limitations have inhibited the success of batch monitoring:- the finite duration of a batch, the presence of significant non-linearities, the lack of on-line sensors for measuring quality variables, the absence of steady-state operation,
S. Albert, G.A. Montague, A.J. Morris, E.B. Martin   +3 more
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