Performance Evaluation of One‐Class Classification‐based Control Charts through an Industrial Application
作者： Walid Gani , Mohamed Limam
DOI: 10.1002/QRE.1440
关键词:
摘要: This article examines the performance of two one-class classification-based control charts through a real industrial application. These are kernel distance–based chart, known as K and k-nearest neighbour data description-based referred to KNN chart. We studied effectiveness both in detecting out-of-control observations phases I II. Furthermore, simulation study is conducted compare using average run length criterion. The results comparative show that chart sensitive small shifts mean vector, whereas moderate vector. In addition, provides MATLAB codes for developed by authors. Copyright © 2012 John Wiley & Sons, Ltd.
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