Condition Monitoring of High-Speed Rotating Machinery Using Digital Twins & Machine Learning Techniques
Year: 2025
Type: conference-paper
DOI: 10.4271/2025-01-0128
Institution: Eaton (United States)
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4410081946
