Article2012

Performance Evaluation of One‐Class Classification‐based Control Charts through an Industrial Application

18 citations0/0 files storedQuality and Reliability Engineering International

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Advanced Statistical Process Monitoring Fault Detection and Control Systems Anomaly Detection Techniques and Applications

Abstract

This article examines the performance of two one‐class classification‐based control charts through a real industrial application. These two control charts are the kernel distance–based control chart, known as the K chart, and the k‐nearest neighbour data description‐based control chart, referred to as the KNN chart. We studied the effectiveness of both charts in detecting out‐of‐control observations in phases I and II. Furthermore, a simulation study is conducted to compare the performance of the two control charts using the average run length criterion. The results of the comparative study show that the K chart is sensitive to small shifts in mean vector, whereas the KNN chart is sensitive to moderate shifts in mean vector. In addition, the article provides the MATLAB codes for the K chart and KNN chart developed by the authors. Copyright © 2012 John Wiley & Sons, Ltd.

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1992Introduction to Statistical Quality Control 2003A kernel-distance-based multivariate control chart using support vector methods 2009One-class classification-based control charts for multivariate process monitoring 2008Robust kernel distance multivariate control chart using support vector principles 2005Kernel distance-based robust support vector methods and its application in developing a robust K-chart 2010An assessment of the kernel‐distance‐based multivariate control chart through an industrial application 2010One-Class Classification-Based Control Charts for Monitoring Autocorrelated Multivariate Processes

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2014A One-Class Classification-Based Control Chart Using the K -Means Data Description Algorithm 2021An unsupervised one-class-classifier support vector machine to simultaneously monitor location and scale of multivariate quality characteristics 2013On the Use of the K-Chart for Phase II Monitoring of Simple Linear Profiles

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