Abstract
This paper proposes a high-performance single-instruction, multiple-data (SIMD)-based multi-core architecture including 64 processing elements operating at 50 MHz in a Xilinx Virtex-7 field programmable gate array (FPGA) device to support online bearing fault diagnosis. The experimental results indicate that the proposed multi-core approach executes 1,293× faster than a high-performane Texas Instrument (TI) TMS320C6748 digital signal processor (DSP) by exploiting the massive parallelism inherent in the bearing fault diagnosis algorithm. In addition, the multi-core approach outperforms the equivalent sequential approach that runs on the TI DSP by substantially reducing the energy consumption.
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