Influence of artificial intelligence on industrial mechanics.
DOI:
https://doi.org/10.5281/zenodo.7979752Keywords:
mechanics, industrial, processes, maintenance, predictive and roboticsAbstract
This article analyzes the influence of Artificial Intelligence (AI) in the field of industrial mechanics. AI has proven to have a significant impact in various areas of industry, and industrial mechanics is no exception. By implementing machine learning algorithms and data processing techniques, AI has improved the efficiency, accuracy, and reliability of mechanical systems. This study examines the applications of AI in industrial mechanics, including process optimization, predictive maintenance, and robotics. In addition, the challenges and ethical implications associated with the use of AI in this field are discussed, it is concluded that AI has the potential to transform industrial mechanics, offering significant improvements in the productivity and efficiency of mechanical systems. By applying machine learning algorithms and data processing techniques, AI has improved the efficiency, accuracy, and reliability of mechanical systems used in industry.
Downloads
Metrics
References
Bibliografía
T. Dereli and A. Baykasoglu. The use of artificial intelligence techniques in design and manufacturing: a review. Polytech, 3:27–60, 2000. 86
S.K Sinha and F Karray. Classification of underground pipe scanned images using feature extraction and neuro-fuzzy algorithm. Neural Networks, IEEE Transactions on, 13(2):393–401, 2002. 86
I.S Bajwa and M.A Choudhary. A study for prediction of minerals in rock images using back propagation neural networks. Advances in Space Technologies, 2006 International Conference on, pages 185–189. 86
Yuan-Kai Wang and Kuo-Chin Fan. Applying genetic algorithms on pattern recognition: an analysis and survey. Pattern Recognition, 1996., Proceedings of the 13th International Conference on, 2:740–744 vol.2, 1996. 87
Miroslav, H. Rafael, and C.J. Oscar. Evaluacion hidrogeológica de pozos a través de registros geofísicos, Fundamentos. Unam, 2005. 88
R. Corzo Rueda y C. Rincón Pabón. Proyecto de grado, Medición y evaluación de la magnitud y dirección de los esfuerzos in-situ en campo. Universidad Industrial de Santander, Colombia, 2004. 88, 89, 90
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Eduardo Santiago Armijos Mena, Brandon Paul Tipan Pardo, Luis Alfredo Alcivar Herrera, Anthony Josué Verá Toapanta
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.