Vibration Signature Analysis and Fault Prognosis Through Deep Learning: AI-Driven Predictive Maintenance for Downtime Reduction in American Defense Manufacturing

Authors

  • Yang Wang Associate Professor of Electrical Engineering, Zhejiang University

Keywords:

vibration signature analysis, fault prognosis, deep learning, predictive maintenance, downtime reduction, machine learning

Abstract

Manufacturing processes have been transforming due to the next technological revolution in automation, known as industry 4.0. As such, machine manufacturers and suppliers of machine parts have been focusing on automating processes with autonomous or fully controlled smart machines [3]. This trend is also being adopted in the defense industry, where unmanned technologies in aviation, land, and underwater vehicles have been actively developed in recent years.

Downloads

Published

30-06-2026

How to Cite

[1]
“Vibration Signature Analysis and Fault Prognosis Through Deep Learning: AI-Driven Predictive Maintenance for Downtime Reduction in American Defense Manufacturing”, Human-Computer Interaction Persp., vol. 6, no. 1, pp. 33–45, Jun. 2026, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/818