AI-based bearing abnormal vibration detection demo

Display the FFT results by inferring AI learning from the bearing acceleration data.

Data collected from the bearing's acceleration sensor is processed through AI learning inference using the Solist-AI TM simulator, which displays the degree of abnormality. The Solist-AI TM simulator is software that simulates the AI accelerator function of Solist-AI TMIC (ML63Q2557) on Windows. Demo Content: 1. Collect and input data from the acceleration sensor of a normal bearing, then perform FFT processing and AI learning using DT-EBML63Q2557. 2. Switch to the acceleration sensor of an abnormal bearing. 3. Collect and input data from the acceleration sensor of the abnormal bearing, then perform FFT processing and AI inference using DT-EBML63Q2557. 4. Display the inference results (degree of abnormality) on the LCD of DT-EBML63Q2557. 5. Display the FFT results of the vibration data for both normal and abnormal bearings on the PC showing the vibration data waveform.

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