Version 1
: Received: 20 June 2023 / Approved: 21 June 2023 / Online: 21 June 2023 (03:04:16 CEST)
How to cite:
Perez-Garcia, S.; Garcia-Garcia, M.; Lopez-Eguilaz, M.J. Use of Self-attention Mechanism to Predict the Future Behavior of a Hydrogen Compressor. Preprints2023, 2023061464. https://doi.org/10.20944/preprints202306.1464.v1
Perez-Garcia, S.; Garcia-Garcia, M.; Lopez-Eguilaz, M.J. Use of Self-attention Mechanism to Predict the Future Behavior of a Hydrogen Compressor. Preprints 2023, 2023061464. https://doi.org/10.20944/preprints202306.1464.v1
Perez-Garcia, S.; Garcia-Garcia, M.; Lopez-Eguilaz, M.J. Use of Self-attention Mechanism to Predict the Future Behavior of a Hydrogen Compressor. Preprints2023, 2023061464. https://doi.org/10.20944/preprints202306.1464.v1
APA Style
Perez-Garcia, S., Garcia-Garcia, M., & Lopez-Eguilaz, M.J. (2023). Use of Self-attention Mechanism to Predict the Future Behavior of a Hydrogen Compressor. Preprints. https://doi.org/10.20944/preprints202306.1464.v1
Chicago/Turabian Style
Perez-Garcia, S., Manuel Garcia-Garcia and Maxima Juliana Lopez-Eguilaz. 2023 "Use of Self-attention Mechanism to Predict the Future Behavior of a Hydrogen Compressor" Preprints. https://doi.org/10.20944/preprints202306.1464.v1
Abstract
The unstable international economic situation is reflected in the supply chain stress, lack or increased cost of some raw materials, fuel or semi-finished products is forcing organizations to perform new optimization initiatives in the utilization of their equipment and assets pointed to obtain the maximum value from them, while maintaining and even improving the quality of their products. The achievement of these objectives involves the reduction or minimization of equipment downtime to maintain the advantage over their competitors and ensure the organization's competitiveness. The intelligent maintenance system (IMS) provides adequate support for decision-making related to equipment maintenance, since poor maintenance results in unplanned stoppages, with the consequent additional cost and increased customer dissatisfaction, and an over-maintenance can result in an additional labor cost, time and the replacement of parts that are in good conditions. The utilization of new tools and technologies introduced by Industry 4.0 offers multiple opportunities for enhancement through communication and computerized data processing, aiming to improve the maintainability of a hydrogen compressor using neural networks based on attention mechanisms combined with linear regression.
Keywords
Intelligent maintenance; neural network; attention mechanism; transformer; time series fore-casting; internet of things; cyber physic system; monitoring; artificial intelligence
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
