Journal ArticleDOI
Process analysis, monitoring and diagnosis, using multivariate projection methods
TLDR
Applications are provided on the analysis of historical data from the catalytic cracking section of a large petroleum refinery, on the monitoring and diagnosis of a continuous polymerization process and on the Monitoring of an industrial batch process.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 1995-04-01. It has received 702 citations till now. The article focuses on the topics: Statistical process control & Univariate.read more
Citations
More filters
Journal ArticleDOI
The Mahalanobis distance
TL;DR: The Mahalanobis distance, in the original and principal component (PC) space, will be examined and interpreted in relation with the Euclidean distance (ED).
Journal ArticleDOI
The process chemometrics approach to process monitoring and fault detection
Barry M. Wise,Neal B. Gallagher +1 more
TL;DR: The state-of-the-art of process chemometrics and current trends in research and applications are reviewed.
Journal ArticleDOI
Generalized contribution plots in multivariate statistical process monitoring
TL;DR: Control limits for both types of contributions are introduced to show the relative importance of a contribution compared to the contributions of the corresponding process variables in the batches obtained under normal operating conditions.
BookDOI
Handbook of Water Analysis
TL;DR: In this paper, the authors present a sampling and data treatment method for water analysis, which is based on the analysis of water samples collected by the National Institute of Water and Environmental Sciences.
Journal ArticleDOI
Fault Detection Using the k-Nearest Neighbor Rule for Semiconductor Manufacturing Processes
Qinghua He,Jin Wang +1 more
TL;DR: In this paper, a fault detection method using the k-nearest neighbor rule (FD-kNN) is developed for the semiconductor industry, which makes decisions based on small local neighborhoods of similar batches, and is well suited for multimodal cases.
References
More filters
Book
Principal Component Analysis
TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
Journal ArticleDOI
Principal component analysis
TL;DR: Principal Component Analysis is a multivariate exploratory analysis method useful to separate systematic variation from noise and to define a space of reduced dimensions that preserve noise.
Journal ArticleDOI
Partial least-squares regression: a tutorial
Paul Geladi,Bruce R. Kowalski +1 more
TL;DR: In this paper, a tutorial on the Partial Least Squares (PLS) regression method is provided, and an algorithm for a predictive PLS and some practical hints for its use are given.
Book
A User's Guide to Principal Components
TL;DR: In this paper, the authors present a directory of Symbols and Definitions for PCA, as well as some classic examples of PCA applications, such as: linear models, regression PCA of predictor variables, and analysis of variance PCA for Response Variables.
Journal ArticleDOI
Economic Control of Quality of Manufactured Product.
A. R. Crathorne,W. A. Shewhart +1 more