An energy-efficient spiking neural network accelerator on FPGA for real-time health monitoring of rotating machinery
Real-time health monitoring of rotating machinery is critical for ensuring the safe operation of industrial systems. However, intelligent diagnostic algorithms with high computational complexity typically rely on high-performance computing platforms, limiting their deployment on resource-constrained edge devices and re...