Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

The Role of AI-Driven Predictive Maintenance in Enhancing U.S. Competitiveness and Efficiency in Aerospace Manufacturing

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  • Dr. Anna Schmidt
Dr. Anna Schmidt
Professor of Human-Computer Interaction, Swinburne University of Technology, Australia

Published 12-09-2024

Keywords

  • Predictive Maintenance,
  • Aerospace Manufacturing
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Anna Schmidt, “The Role of AI-Driven Predictive Maintenance in Enhancing U.S. Competitiveness and Efficiency in Aerospace Manufacturing”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 281–296, Sep. 2024, Accessed: Nov. 24, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/165

Abstract

AI-driven predictive maintenance has the potential to significantly enhance the competitiveness and efficiency of U.S. aerospace manufacturing. Over the next five or ten years, it will go from being an “interesting idea” that people are beginning to explore to becoming ubiquitous in manufacturing and a key selling point for manufacturers. It encompasses combining AI-based intelligent edge systems and machine learning algorithm models for real-time predictive maintenance of production equipment. It can help manufacturers avoid unexpected breakdowns of critical production and experimental equipment on the factory floor. By monitoring critical equipment continuously, predictive maintenance can recognize new failures earlier, repair them before they become catastrophic, and reduce downtime. In turn, this will enable manufacturing resources to be utilized fully in producing and qualifying aerospace systems of the highest quality.

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