Description
The role is an academic master's thesis focused on improving an embedded bearing fault detection algorithm deployed on the COSAMIRA Edge platform. The student will analyze carrier frequency selection techniques, develop an adaptive and embedded-ready module, and address challenges including automatic demodulation-band selection, robustness to speed variation and operational noise, low computational and memory footprint, real-time feasibility, and efficient C++ implementation. The work is split 50% research, 30% implementation, and 20% experimentation, and is based at Televic.
