Machine Learning Analysis in Mechanical Engineering
Main Article Content
Keywords
data-driven, neural network, machine learning, artificial intelligence
Abstract
Despite the rapid development of the AI industry and the programming industry in the machinery manufacturing or production industry, there is no systematic explanation as to why the use of machine learning can enhance the development of related industries. This paper summarizes the reasons for the industry’s development direction from the three aspects of machine learning’s automation design, expected maintenance, and production efficiency improvement. The learning types are briefly introduced to indicate the application of machine learning in mechanical engineering. By providing relevant examples, the superiority of machine learning in mechanical engineering is reflected, and specific practical cases are given to show the development trend of machine learning in the manufacturing industry in the future. Finally, we make predictions on the main development directions of machine learning in the future industry.
References
Lai, F., Huang, C., & Hu, B. (2019). The development and challenges of autonomous driving technology for smart cars. Journal of Southwest University (Natural Science Edition), (8), 124-133.
Li, J., & Hu, L. (2020). Review of machine learning based predictive maintenance methods for equipment. Computer Engineering and Application, (21), 11-19.
Li, Y. (2024). Application of intelligent technology in information engineering automation design. Integrated Circuit Application, (6), 118-119.
Meng, Z., & Li, T. (2020). Review and prospects for the development of machine learning technology. Integrated Circuit Application, (10), 56-57.
Shi, Z. (2024). Discussion on the application of artificial intelligence technology in machinery design and manufacturing. China Equipment Engineering, (15), 42-44.
Wei, P., Liu, W., Ren, T., & Li, H. (2024). Application of artificial intelligence technology in machinery design and manufacturing and its automation. China Science and Technology Information, (14), 84-86.
Zhang, R., & Wang, Y. (2016). Research on machine learning and its algorithms and development. Journal of Communication University of China (Natural Science Edition), (2), 10-18, 24.
Zhang, X. (2012). Research on enterprise production process optimization based on process analysis method. Industrial Engineering and Management, (1), 40-45.
Zhu, L. (2024). Application of general artificial intelligence technology in machinery industry. Journal of Chongqing Electric Power College, (2), 30-33.