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Towards fault detection and self-healing of chemical processes over wireless sensor networks

Dorneanu, Bogdan, Ruan, Hang, Mohamed, Abdelrahim, Heshmat, Mohamed, Gao, Yang, Xiao, Pei and Arellano-Garcia, Harvey (2019) Towards fault detection and self-healing of chemical processes over wireless sensor networks In: Industry 4.0 Summit and Expo, 10-11 Apr 2019, Manchester, UK.

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Abstract

This contribution introduces a framework for the fault detection and healing of chemical processes over wireless sensor networks. The approach considers the development of a hybrid system which consists of a fault detection method based on machine learning, a wireless communication model and an ontology-based multi-agent system with a cooperative control for the process monitoring.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Dorneanu, Bogdanb.dorneanu@surrey.ac.uk
Ruan, Hangh.ruan@surrey.ac.uk
Mohamed, Abdelrahimabdelrahim.mohamed@surrey.ac.uk
Heshmat, Mohamed
Gao, YangYang.Gao@surrey.ac.uk
Xiao, PeiP.Xiao@surrey.ac.uk
Arellano-Garcia, Harveyh.arellano-garcia@surrey.ac.uk
Date : 10 April 2019
Funders : Engineering and Physical Sciences Research Council (EPSRC)
Grant Title : Stepping towards the industrial 6th Sense
Copyright Disclaimer : © 2019 Taylor & Francis
Related URLs :
Depositing User : Clive Harris
Date Deposited : 07 Mar 2019 10:42
Last Modified : 10 Apr 2019 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/850682

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