A novel method using DEM–FEM and wavelet-based energy analysis for tumbling mill shell vibration signal generation and load feature extraction

Key Points

• Vibration signal generation enhances load feature extraction in tumbling mills, improving operational efficiency and safety.
• Key improvement includes a wavelet-based energy analysis technique that provides better signal clarity and feature identification.
• Method involves a combination of discrete element method (DEM) and finite element method (FEM) to analyze vibrations effectively.
• Current findings support further implementation in industrial scenarios, highlighting potential for enhanced machinery monitoring.