About this document
Data Fusion in Aircraft Predictive Maintenance by Ghazal izd is a document available to read on EtoBox.
This paper discusses the integration of data fusion techniques within the digital twin framework to enhance predictive maintenance in the aerospace industry. It highlights how digital twins, which are adaptive models of physical assets, utilize real-time data and advanced analytics to improve maintenance decision-making and operational efficiency. The role of data fusion is emphasized as crucial for transforming raw data into actionable insights, thereby supporting the shift from reactive to proactive maint
- Author
- Ghazal izd
- Language
- EN