Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

compared with CPU and GPU implementations, respectively, with a latency as low as 0.108ms and a fault-classification accuracy of 98%. This study achieves the integration of self-powered sensors with edge AI acceleration, providing a new pathway for real-time diagnostics of smart bearings.