Intelligent diagnosis of rotating machinery using dynamic mode decomposition and sequential backward selection of multi-sensor features
Published online on February 23, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Volume 240, Issue 9, Page 3320-3338, May 2026.
This study introduces an innovative framework for intelligent condition monitoring of bearings and gears, employing Dynamic Mode Decomposition (DMD) on multi-sensor data that includes vibration, electrical, and acoustic measurements. To our knowledge, ...
This study introduces an innovative framework for intelligent condition monitoring of bearings and gears, employing Dynamic Mode Decomposition (DMD) on multi-sensor data that includes vibration, electrical, and acoustic measurements. To our knowledge, ...