Integrating Principal Component Analysis and Support Vector Machine for MEWMA Control Chart Nonrandom Pattern Recognition

Integrating Principal Component Analysis and Support Vector Machine for MEWMA Control Chart Nonrandom Pattern Recognition

碩士 === 國立雲林科技大學 === 工業工程與管理系 === 102 === Control chart of statistical process control techniques is a significant and simple tool. Except for any of the point falls outside the control limits is out-of-control in control chart, when the data showed nonrandom pattern which means that the process may...

Full description

Bibliographic Details
Main Authors:	Ya-Hui Liu, 劉雅慧
Other Authors:	Chau-Chen Torng
Format:	Others
Language:	zh-TW
Published:	2014
Online Access:	http://ndltd.ncl.edu.tw/handle/34620609540735818319

Similar Items

Applying Wavelet Transform and Support Vector Machine in Pattern Recognition on MEWMA Control Chart
by: Hsu, Hao-Che, et al.
Published: (2016)

Pattern Recognition of Multivariate Process Using Principal Components Analysis and MEWMA Control Chart
by: Ping-Chen Chang, et al.
Published: (2008)

Integrating Independent Component Analysis and Support Vector Machine for Control Chart Pattern Recognition
by: Miao-Jing Chiang, et al.

Recognition of Control Chart Nonrandom Pattern using Neural Networks
by: Jung-Ho Lin, et al.
Published: (1999)

A Guaranteed MEWMA Control Chart for Monitoring Linear Profiles
by: Lan, Wen Hsuan, et al.
Published: (2016)

The Study of Control Chart Pattern Recognition Using Support Vector Machine
by: Jun-Han Chen, et al.
Published: (2010)

MEWMA-ICA-PCA Control Charts for Monitoring Small Shifts in the Process
by: Zheng-Yuan Chen, et al.
Published: (2013)

Feature-Based Control Chart Nonrandom Patterns Recognition - Using Artificial Neural Networks
by: Tsai, Cheng-Lieng, et al.

Robust MEWMA-type Control Charts for Monitoring the Covariance Matrix of Multivariate Processes
by: Xiao, Pei
Published: (2013)

Integrating Wavelet Analysis and Support Vector Machine on Non-normal Control Chart Pattern Recognition
by: Jhuang,Bing-Syue, et al.
Published: (2016)

Recognition of Concurrent Control Chart Patterns in Autocorrelated Processes Using Support Vector Machine
by: Chau-Chen Torng, et al.
Published: (2016-08-01)

Implementation of Artificial Immune System Applied to Nonrandom Patterns of Control Charts
by: Tsung-Yuan Yeh, et al.
Published: (2004)

Applying Singular Spectrum Analysis and Support Vector Machine in Concurrent Control Chart Patterns Recognition on EWMA Control chart
by: HSU,YUAN-HAN, et al.
Published: (2018)

Real-time Recognition of Control Chart Patterns in Autocorrelated Processes Using Support Vector Machine
by: Jo -Yu Lee, et al.
Published: (2009)

Autocorrelated Control Chart Patterns Recognition Using Support Vector Machine and Self-Organizing Map
by: HUANG,SHI-QI, et al.
Published: (2019)

Multivariate Control Chart Pattern Recognition using Artificial Neural Network and Support Vector Machine
by: Ping-Chen Chang, et al.
Published: (2007)

Concurrent unnatural control chart patterns recognition of a bivariate process with support vector machine
by: Chong-Hao Huang, et al.
Published: (2015)

ON THE HOTELLING’S T, MCUSUM AND MEWMA CONTROL CHARTS' PERFORMANCE WITH DIFFERENT VARISBILITY SOURCES: A SIMULATION STUDY
by: D. A. O. Moraes, et al.
Published: (2015-12-01)

Integrating Wavelet Analysis and Genetic Algorithmwith Support Vector Machine on Non-normal Control Chart Pattern Recognition
by: LIN, CHI-SHAN, et al.
Published: (2019)

A new alternative Hotelling’s T2 control chart using MEWMA to monitor minimal mean deviation
by: Wang Kunyun, et al.
Published: (2021-01-01)

A Comparative Study of Four Evolutionary Algorithms for Economic and Economic-Statistical Designs of MEWMA Control Charts
by: Seyed Taghi Akhavan Niaki, et al.
Published: (2011-09-01)

The Application of Principal Component Analysis and Evolutionary Support Vector Machine for Real-Time Face Recognition
by: Wen-ching Tseng, et al.
Published: (2010)

Comparison of Performance Using Artificial Neural Network and Support Vector Machine in On-line Control Chart Pattern Recognition
by: Kuang-Yu Lo, et al.
Published: (2009)

Concurrent Control Chart Patterns Recognition of a Multivariate Process with Singular Spectrum Analysis and Support Vector Machine
by: LIN, YEN-TING, et al.
Published: (2017)

Differential Privacy Principal Component Analysis for Support Vector Machines
by: Yuxian Huang, et al.
Published: (2021-01-01)

Series Arc Detection and Complex Load Recognition Based on Principal Component Analysis and Support Vector Machine
by: Jun Jiang, et al.
Published: (2019-01-01)

Feature Extraction Using Principal Component Analysis and Support Vectors Machines
by: Yong-Di Huang, et al.
Published: (2008)

Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features
by: Min Zhang, et al.
Published: (2015-01-01)

The Application of Artificial Neural Network to Quality Control : Recognition of Nonrandom patterns
by: Shau-Hwa Ow, et al.

On-line control chart pattern recognize suing support vector machines and statistical features
by: Hsiu-Ching Kuo, et al.
Published: (2008)

SingleMEWMA控制器最佳化之研究
by: 陳香如
Published: (2001)

The Face Login System based on Principal Component Analysis and Support Vector Machine
by: Chun-Ju Wu, et al.
Published: (2010)

Using Principal Components Analysis and support vector machines in analyzing BGA gold wire bonding process
by: Ching Ya, Hsu, et al.
Published: (2010)

Locating Impact on Structural Plate Using Principal Component Analysis and Support Vector Machines
by: Heming Fu, et al.
Published: (2013-01-01)

MEWMA控制器最適變動折扣因子之研究
by: 吳俊達
Published: (2003)

Pattern recognition of rigid hoist guides based on support vector machine
by: Yansong Ma, et al.
Published: (2018-12-01)

Research on weather classification pattern recognition based on support vector machine
by: Guo Jia, et al.
Published: (2020-01-01)

Multi-Sensor Image Fusion Using Optimized Support Vector Machine and Multiscale Weighted Principal Component Analysis
by: Shanshan Huang, et al.
Published: (2020-09-01)

Monthly Stream Flow Prediction Using Support Vector Machine Based on Principal Component Analysis
by: Roohollah Noori, et al.
Published: (2011-03-01)

A Fuzzy-Soft Learning Vector Quantization for Control Chart Pattern Recognition
by: Jenn-Hwai Yang, et al.
Published: (2001)

Cannot write session to /tmp/vufind_sessions/sess_744isi1r7hlobk8rmkn9c2i7so