AI-based bearing abnormal vibration detection demo

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

Data collected from the bearing's acceleration sensor is processed through AI learning inference using the Solist-AI TM simulator, which displays the level 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, perform FFT processing with DT-EBML63Q2557, and conduct AI learning. 2. Switch to the acceleration sensor of an abnormal bearing. 3. Collect and input data from the acceleration sensor of the abnormal bearing, perform FFT processing with DT-EBML63Q2557, and conduct AI inference. 4. Display the inference results (level of abnormality) on the LCD of DT-EBML63Q2557. 5. Display the FFT results of vibration data for both normal and abnormal bearings on the PC showing the vibration data waveform.

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