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Erschienen in:
An Investment Recommender Multi-agent System in Financial Technology Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

A New Approach for System Malfunctioning over an Industrial System Control Loop Based on Unsupervised Techniques

verfasst von : Esteban Jove, José-Luis Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez-Pérez, José Luis Calvo-Rolle

Erschienen in: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18

Verlag: Springer International Publishing

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Abstract

Systems optimization is one of the great challenges to improve the industry plants performance. From an economical point of view, a proper optimization means, among others, energy, material and maintenance savings. Furthermore, the quality of the final product is improved. So fault detection techniques development plays a very important role to achieve the system optimization. Under this topic, the present research shows the developed work over a real common system, the level control. A new proposal based on unsupervised techniques were used to detect the system malfunction states, taking into account a dataset collected during the right operation. The proposal is validated with ad-hoc created faults for the different system operation points. The performance is very satisfactory in general terms.

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Vorheriges Kapitel Waste Management as a Smart Cognitive System: The Wasman Case
Nächstes Kapitel Swarm Intelligence Methods on Inventory Management
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Metadaten
Titel
A New Approach for System Malfunctioning over an Industrial System Control Loop Based on Unsupervised Techniques
verfasst von
Esteban Jove
José-Luis Casteleiro-Roca
Héctor Quintián
Juan Albino Méndez-Pérez
José Luis Calvo-Rolle
Copyright-Jahr
2019
Buch
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18

Print ISBN: 978-3-319-94119-6

Electronic ISBN: 978-3-319-94120-2

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-94120-2_40