This solution integrates low-noise vibration sensors with edge computing technology into a single module. Through envelope spectrum analysis and signal filtering techniques, it extracts effective sensing signals to establish a bearing operation health index, enabling real-time monitoring of spindle bearing conditions.
By analyzing signals from current, vibration, and non-contact sensors, a grinding process decision model is constructed to diagnose the grinding wheel condition in real time.
Spindle Condition Monitoring:Establishes a bearing health index based on signal characteristics to ensure machining quality.
Adaptive Control of the Grinding Spindle:Builds a grinding process decision-making model to diagnose the grinding wheel condition in real time, and adjusts grinding parameters through adaptive control to ensure overall process efficiency.
the system enables real-time assessment of spindle health.