ai-anomaly-detection-vibration

[UNTESTED] — v0.5 paper-correct

Compiles on native_sim/native/64 + cross-compiles to ensemble_e8_dk/ae402fa0e5597le0/rtss_hp. HiL bring-up with a real motor / pump and a customer-trained model is v0.6 work.

Predictive-maintenance edge-AI on the E1M-AEN module: read a sliding window of vibration data from the EVK-populated LSM6DSO accelerometer, feed it through a 1D-CNN anomaly model via TFLite Micro, publish a per-window anomaly score.

Source: examples/ai-anomaly-detection-vibration/.

Why this matters

Factory-floor vibration monitoring without a cloud round-trip — bearing-signature drift gets flagged before a motor / pump / spindle fails. The model learns the baseline at commissioning; departures from that baseline score above a threshold.

board.yaml

schema_version: 2

som:
  sku: E1M-AEN701

carrier:
  name: E1M-EVK

cores:
  m55_hp:
    os: zephyr
    app: ./src
    peripherals: [i2c]
    inference: { backend: ethos_u, tensor_arena_kb: 128 }

chips:
  - lsm6dso

diagnostics:
  log_level: info

See also

• <alp/inference.h>
• <alp/chips/lsm6dso.h>
• Examples overview