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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Jove, E., Casteleiro-Roca, JL., Quintián, H., Méndez-Pérez, J.A., Calvo-Rolle, J.L. (2019). A New Approach for System Malfunctioning over an Industrial System Control Loop Based on Unsupervised Techniques. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_40
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DOI: https://doi.org/10.1007/978-3-319-94120-2_40
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