A Hybrid Expert Decision Support System Based on Artificial Neural Networks in Process Control of Plaster Production – An Industry 4.0 Perspective

Abstract : Emerging technologies could affect future of factories and smartness is the main trend to receive that points. Quality was important and will be crucial in future but the question is how to build Smart Systems to guaranty quality in workshop level. This is an important challenge in Industry 4.0 paradigm. In this paper the main objective is to present practical solution under the light of Industry 4.0. The aim of this study is to presents propose a Hybrid Expert Decision Support System (EDSS) model, which integrates Neural Network (NN) and Expert System (ES) to detect unnatural CCPs and to estimate the corresponding parameters and starting point of the detected CCP. For this purpose, Learning Vector Quantization (LVQ) and Multi-Layer Perceptron (MLP) networks architecture have been designed to identify unnatural CCPs. Moreover, a rule based ES has been developed for diagnosing causes of process variations and subsequently recommending corrective action. The proposed model was successfully implemented in Construction Plaster producing company to demonstrate the capabilities and applicability of the model.
Type de document :
Communication dans un congrès
Luis M. Camarinha-Matos; Mafalda Parreira-Rocha; Javaneh Ramezani. 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2017, Costa de Caparica, Portugal. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-499, pp.55-71, 2017, Technological Innovation for Smart Systems. 〈10.1007/978-3-319-56077-9_5〉
Liste complète des métadonnées

Littérature citée [27 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01629563
Contributeur : Hal Ifip <>
Soumis le : lundi 6 novembre 2017 - 15:28:40
Dernière modification le : lundi 6 novembre 2017 - 15:32:22

Fichier

 Accès restreint
Fichier visible le : 2020-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Javaneh Ramezani, Javad Jassbi. A Hybrid Expert Decision Support System Based on Artificial Neural Networks in Process Control of Plaster Production – An Industry 4.0 Perspective. Luis M. Camarinha-Matos; Mafalda Parreira-Rocha; Javaneh Ramezani. 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2017, Costa de Caparica, Portugal. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-499, pp.55-71, 2017, Technological Innovation for Smart Systems. 〈10.1007/978-3-319-56077-9_5〉. 〈hal-01629563〉

Partager

Métriques

Consultations de la notice

37