Issues in development of artificial neural network-based control chart pattern recognition schemes

Control chart pattern recognition has become an active area of research since late 1980s. Much progress has been made, in which there are trends to heighten the performance of artificial neural network (ANN)-based control chart pattern recognition schemes through feature-based and wavelet-denoise in...

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Main Authors: Masood, Ibrahim, Hassan, Adnan
Format: Article
Language:English
Published: EuroJournals Publishing 2010
Subjects:
Online Access:http://eprints.uthm.edu.my/4478/
http://eprints.uthm.edu.my/4478/1/AJ%202018%20%2891%29.pdf
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author Masood, Ibrahim
Hassan, Adnan
author_facet Masood, Ibrahim
Hassan, Adnan
author_sort Masood, Ibrahim
building UTHM Institutional Repository
collection Online Access
description Control chart pattern recognition has become an active area of research since late 1980s. Much progress has been made, in which there are trends to heighten the performance of artificial neural network (ANN)-based control chart pattern recognition schemes through feature-based and wavelet-denoise input representation techniques, and through modular and integrated recognizer designs. There is also a trend to enhance it’s capability for monitoring and diagnosing multivariate process shifts. However, there is a lack of literature providing a critical review on the issues associated to such advances. The purpose of this paper is to highlight research direction, as well as to present a summary of some updated issues in the development of ANN-based control chart pattern recognition schemes as being addressed by the frontiers in this area. The issues highlighted in this paper are highly related to input data and process patterns, input representation, recognizer design and training, and multivariate process monitoring and diagnosis. Such issues could be useful for new researchers as a starting point to facilitate further improvement in this area.
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spelling uthm-44782021-12-07T04:04:18Z http://eprints.uthm.edu.my/4478/ Issues in development of artificial neural network-based control chart pattern recognition schemes Masood, Ibrahim Hassan, Adnan T Technology (General) TJ Mechanical engineering and machinery TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Control chart pattern recognition has become an active area of research since late 1980s. Much progress has been made, in which there are trends to heighten the performance of artificial neural network (ANN)-based control chart pattern recognition schemes through feature-based and wavelet-denoise input representation techniques, and through modular and integrated recognizer designs. There is also a trend to enhance it’s capability for monitoring and diagnosing multivariate process shifts. However, there is a lack of literature providing a critical review on the issues associated to such advances. The purpose of this paper is to highlight research direction, as well as to present a summary of some updated issues in the development of ANN-based control chart pattern recognition schemes as being addressed by the frontiers in this area. The issues highlighted in this paper are highly related to input data and process patterns, input representation, recognizer design and training, and multivariate process monitoring and diagnosis. Such issues could be useful for new researchers as a starting point to facilitate further improvement in this area. EuroJournals Publishing 2010 Article PeerReviewed text en http://eprints.uthm.edu.my/4478/1/AJ%202018%20%2891%29.pdf Masood, Ibrahim and Hassan, Adnan (2010) Issues in development of artificial neural network-based control chart pattern recognition schemes. European Journal of Scientific Research, 39 (9). pp. 336-355. ISSN 1450-216X
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Masood, Ibrahim
Hassan, Adnan
Issues in development of artificial neural network-based control chart pattern recognition schemes
title Issues in development of artificial neural network-based control chart pattern recognition schemes
title_full Issues in development of artificial neural network-based control chart pattern recognition schemes
title_fullStr Issues in development of artificial neural network-based control chart pattern recognition schemes
title_full_unstemmed Issues in development of artificial neural network-based control chart pattern recognition schemes
title_short Issues in development of artificial neural network-based control chart pattern recognition schemes
title_sort issues in development of artificial neural network-based control chart pattern recognition schemes
topic T Technology (General)
TJ Mechanical engineering and machinery
TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
url http://eprints.uthm.edu.my/4478/
http://eprints.uthm.edu.my/4478/1/AJ%202018%20%2891%29.pdf