Results 241 to 250 of about 2,332,068 (309)

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
openaire   +1 more source

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
openaire   +1 more source

Quality-Driven Principal Component Analysis Combined With Kernel Least Squares for Multivariate Statistical Process Monitoring

IEEE Transactions on Control Systems Technology, 2019
This brief discusses a novel quality-driven principal component analysis method for statistical process monitoring. Through a nonlinear mapping, the original measurement space is mapped to another high-dimensional space, and then the relevant information
Junping Huang, Xue-feng Yan
semanticscholar   +1 more source

FEEDBACK CONTROL AND STATISTICAL PROCESS MONITORING

International Journal of Reliability, Quality and Safety Engineering, 1996
In the industrial world, different methodologies have been applied to reduce variability. Engineers whose training is in the quality assurance sciences have frequently used statistical process control (SPC) whereas engineers whose background includes control theory have employed engineering process control (EPC), often in the form of feedback control.
J. BERT KEATS, DOUGLAS C. MONTGOMERY, GEORGE C. RUNGER, WILLIAM S. MESSINA   +3 more
openaire   +1 more source

Incorporation of process-specific structure in statistical process monitoring: A review

Journal of QualityTechnology, 2019
The incorporation of process-specific structure in monitoring activities has the potential to improve fault detection and fault diagnosis in modern industrial scenarios.
M. Reis, G. Gins, Tiago J. Rato
semanticscholar   +1 more source

Statistical weld process monitoring and interpretation

Proceedings of 1994 IEEE Industry Applications Society Annual Meeting, 2002
A statistical process control tool is described that provides weld quality control and documentation by implementing techniques of data trending analysis, tolerance analysis, and sequential analysis. The SPC tool has been used in combination with an arc data acquisition and monitoring system for industrial weld quality assurance.
G.E. Cook, J.E. Maxwell, R.J. Barnett, F.M. Thompson   +3 more
openaire   +1 more source

System Decomposition for Distributed Multivariate Statistical Process Monitoring by Performance Driven Agglomerative Clustering

Industrial & Engineering Chemistry Research, 2018
Conventional multivariate statistical process monitoring methods such as Principal Component Analysis perform poorly in detecting faults in large systems.
S. Khatib, P. Daoutidis, A. Almansoori
semanticscholar   +1 more source

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
openaire   +1 more source

A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis

at - Automatisierungstechnik, 2022
Zhijiang Lou, Youqing Wang, Yabin Si, Shan Lu   +3 more
semanticscholar   +1 more source

Statistical process control charts for monitoring military injuries

Injury Prevention, 2017
BackgroundAn essential aspect of an injury prevention process is surveillance, which quantifies and documents injury rates in populations of interest and enables monitoring of injury frequencies, rates and trends. To drive progress towards injury reduction goals, additional tools are needed.
Anna, Schuh, Michelle, Canham-Chervak, Bruce H, Jones   +2 more
openaire   +2 more sources