Principal component analysis-based control charts for multivariate nonnormal distributions-Reference-Cited by-同舟云学术

Principal component analysis-based control charts for multivariate nonnormal distributions

Published:2013-06 Issue:8 Volume:40 Page:3044-3054
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Phaladiganon Poovich,Kim Seoung Bum,Chen Victoria C.P.,Jiang Wei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference34 articles.

1. Multivariate statistical process control charts: An overview;Bersimis;Quality & Reliability Engineering International,2006

2. Applied smoothing techniques for data analysis;Bowman,1997

3. Some theorems on quadratic forms applied in the study of analysis of variance problem: Effect of inequality of variance in one-way classification;Box;The Annals of Mathematical Statistics,1954

4. Numerical analysis;Burden,2000

5. The control chart for individual observations from a multivariate non-normal distribution;Chou;Communications in Statistics – Simulation and Computation,2001

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incipient Fault Detection with Feature Ensemble Based on One-Class Machine Learning Methods;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. On the Performance of T2-Based PCA Mix Control Chart with KDE Control Limit for Monitoring Variable and Attribute Characteristics;2023-11-07

3. Intermittent fault detection based on feature ensemble;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22

4. Variational AutoEncoders-LSTM based fault detection of time-dependent high dimensional processes;International Journal of Production Research;2023-02-09

5. The RNVP-based process monitoring with transforming non-normal data to multivariate normal data;Engineering Applications of Artificial Intelligence;2023-02