Results 21 to 30 of about 15,402,643 (297)

Monitoring a complex refining process using multivariate statistics [PDF]

Control Engineering Practice, 2008
Over the past decade, multivariate statistical process control (MSPC) methods have been proven, in the process industries, to be an effective tool for process monitoring, modelling and fault detection. This paper describes the development of a real-time monitoring solution for a complex petroleum refining process with an installed multivariable model ...
AlGhazzawi, Ashraf, Lennox, Barry; id_orcid 0000-0003-0905-8324   +1 more
openaire   +2 more sources

Improved Statistical Pattern Analysis Monitoring for Complex Multivariate Processes Using Empirical Likelihood

, 2020
This article developed an improved statistical pattern analysis (SPA) monitoring strategy for fault detection of complex multivariate processes using empirical likelihood.
Xiaomin Shen, Xin Zhang, Jianwen Shao, Wenhua Chen   +3 more
core   +1 more source

Fusing NIR and Process Sensors Data for Polymer Production Monitoring

Frontiers in Chemistry, 2021
Process analytical technology and multivariate process monitoring are nowadays the most effective approaches to achieve real-time quality monitoring/control in production.
Lorenzo Strani, Erik Mantovani, Francesco Bonacini, Federico Marini, Marina Cocchi   +4 more
doaj   +1 more source

A Framework for Multivariate Statistical Quality Monitoring of Additive Manufacturing: Fused Filament Fabrication Process

, 2023
Advances in additive manufacturing (AM) processes have increased the number of relevant applications in various industries. To keep up with this development, the process stability of AM processes should be monitored, which is conducted through the ...
Moath Alatefi, Abdullah Yahia AlFaify, Abdulrahman M. Al-Ahmari, Mustafa Saleh   +3 more
core   +1 more source

Using a Time Delay Neural Network Approach to Diagnose the Out-of-Control Signals for a Multivariate Normal Process with Variance Shifts

Mathematics, 2019
With the rapid development of advanced sensor technologies, it has become popular to monitor multiple quality variables for a manufacturing process.
Yuehjen E. Shao, Shih-Chieh Lin
doaj   +1 more source

Quality-related monitoring of papermaking wastewater treatment processes using dynamic multiblock partial least squares

Journal of Bioresources and Bioproducts, 2022
Environmental problems have attracted much attention in recent years, especially for papermaking wastewater discharge. To reduce the loss of effluence discharge violation, quality-related multivariate statistical methods have been successfully applied to
Jie Yang, Yuchen Zhang, Lei Zhou, Fengshan Zhang, Yi Jing, Mingzhi Huang, Hongbin Liu   +6 more
doaj   +1 more source

A New Approach to Multivariate Statistical Process Control and Its Application to Wastewater Treatment Process Monitoring

International Journal of Prognostics and Health Management
This paper presents a new process monitoring and fault diagnosis approach based on a modified Multivariate Statistical Process Control (MSPC) and evaluates its applicability to municipal wastewater treatment process monitoring.
Ryo Namba, Takumi Obara, Yukio Hiraoka
doaj   +1 more source

Process Monitoring Using Kernel PCA and Kernel Density Estimation-Based SSGLR Method for Nonlinear Fault Detection

Applied Sciences, 2022
Fault monitoring is often employed for the secure functioning of industrial systems. To assess performance and enhance product quality, statistical process control (SPC) charts such as Shewhart, CUSUM, and EWMA statistics have historically been utilized.
Faisal Shahzad, Zhensheng Huang, Waqar Hussain Memon   +2 more
doaj   +1 more source

A branch and bound method for isolation of faulty variables through missing variable analysis [PDF]

, 2010
Fault detection and diagnosis is a critical approach to ensure safe and efficient operation of manufacturing and chemical processing plants. Although multivariate statistical process monitoring has received considerable attention, investigation into ...
Tao Chen, Pabara-Ebiere Odiowei, Vinay Kariwala, Kariwala, V, Kariwala, Vinay, Yi Cao, Odiowei, P. E., Chen, Tao, Odiowei, P-E, Chen, T, Cao, Y, Cao, Yi   +11 more
core   +1 more source

Phase II monitoring of multivariate simple linear profiles with estimated parameters

Journal of Industrial Engineering International, 2019
In some applications of statistical process monitoring, a quality characteristic can be characterized by linear regression relationships between several response variables and one explanatory variable, which is referred to as a “multivariate simple ...
Ahmad Ahmadi Yazdi, Ali Zeinal Hamadani, Amirhossein Amiri   +2 more
doaj   +1 more source