Why use STM32H7 instead of ESP32 für vorausschauende wartung?

The STM32H7's 480 MHz clock and 1 MB SRAM enable high-frequency vibration analysis (up to 10 kHz) that the ESP32 cannot match. This captures bearing defect frequencies (BPFO, BPFI) that appear above 1 kHz. For standard rotating machinery monitoring below 1 kHz, the ESP32 is sufficient and cheaper.

What vibration sensor works best with STM32H7?

ST's IIS3DWB accelerometer is purpose-built for vibration monitoring with 6.3 kHz bandwidth and ultra-low noise (25 ug/sqrt(Hz)). Connect via SPI for maximum throughput. For lower-cost setups, the ADXL355 (4 kHz bandwidth) via SPI is widely used in industrial monitoring.

Can Edge Impulse handle multi-sensor predictive maintenance on STM32H7?

Yes. Edge Impulse supports multi-axis accelerometer input natively. You can combine vibration (3-axis accel), temperature, and current data into a single inference pipeline. The STM32H7's 1 MB SRAM accommodates the larger feature vectors from multi-sensor input without memory pressure.

Hardware-Leitfaden

STM32H7 für Predictive Maintenance mit Edge Impulse

The STM32H7 paired with Edge Impulse delivers industrial-grade predictive maintenance. The 1 MB SRAM and 480 MHz Cortex-M7 handle multi-sensor vibration analysis at sample rates up to 10 kHz, while Edge Impulse's spectral analysis pipeline simplifies the DSP and ML workflow.

Hardware-Spezifikationen

Spez.	STM32H7
Prozessor	ARM Cortex-M7 @ 480 MHz
SRAM	1024 KB
Flash	2 MB
Konnektivität	Ethernet, USB OTG HS/FS
Preisbereich	$8-20 (Chip), $30-80 (Board)

Kompatibilität: Ausgezeichnet

The STM32H7 is overkill for basic vibration monitoring — and that is exactly the point for industrial deployments. The 1 MB SRAM enables complex feature pipelines: high-resolution FFT (2048+ bins), multiple concurrent sensor channels, and large inference buffers. The 480 MHz Cortex-M7 with L1 cache processes 10 kHz vibration data in real-time, capturing high-frequency bearing defects that slower MCUs miss. Edge Impulse has official STM32 support with optimized CMSIS-NN deployment. Their spectral analysis block handles windowing, FFT, and feature extraction automatically — you configure parameters in the web UI rather than writing DSP code. The STM32H7's lack of Wi-Fi is less of an issue in industrial settings where Ethernet or RS-485 fieldbus connections are standard. The STM32H7B3-DK and NUCLEO-H743ZI2 boards are both officially supported by Edge Impulse.

Erste Schritte

1

Set up Edge Impulse with STM32H7

Flash the Edge Impulse firmware to your STM32H7 board (NUCLEO-H743ZI2 or H7B3-DK). Verbinde via USB and verify the device appears in the Edge Impulse Studio's Devices tab.
2

Connect high-frequency vibration sensors

Use an ADXL355 (4 kHz bandwidth) or IIS3DWB (6.3 kHz bandwidth) accelerometer via SPI for high-frequency vibration capture. ST's IIS3DWB is designed specifically for industrial vibration monitoring with ultra-low noise.
3

Configure spectral analysis and train the model

In Edge Impulse Studio, set up a Spectral Analysis block with appropriate FFT size (512-2048) and frequency range. Sammle data during normal and degraded operation. The classifier learns to distinguish healthy from faulty vibration signatures.
4

Deploy as STM32CubeIDE library

Export from Edge Impulse as a CMSIS-PACK or C++ library. Integrate into your STM32CubeIDE project. The deployment includes optimized CMSIS-NN kernels for the Cortex-M7 automatically.

Alternativen

ESP32 with Edge Impulse

Built-in Wi-Fi for wireless reporting. 520 KB SRAM handles standard vibration models. Lower cost but limited to ~1 kHz vibration analysis — sufficient for most rotating machinery.

STM32F4 with TFLite Micro

Lower cost Cortex-M4 for standard vibration monitoring. 192 KB SRAM and 168 MHz. Sufficient for sub-1 kHz analysis. Better cost-performance ratio for less demanding applications.

Häufige Fragen

Why use STM32H7 instead of ESP32 für vorausschauende wartung?: The STM32H7's 480 MHz clock and 1 MB SRAM enable high-frequency vibration analysis (up to 10 kHz) that the ESP32 cannot match. This captures bearing defect frequencies (BPFO, BPFI) that appear above 1 kHz. For standard rotating machinery monitoring below 1 kHz, the ESP32 is sufficient and cheaper.
What vibration sensor works best with STM32H7?: ST's IIS3DWB accelerometer is purpose-built for vibration monitoring with 6.3 kHz bandwidth and ultra-low noise (25 ug/sqrt(Hz)). Connect via SPI for maximum throughput. For lower-cost setups, the ADXL355 (4 kHz bandwidth) via SPI is widely used in industrial monitoring.
Can Edge Impulse handle multi-sensor predictive maintenance on STM32H7?: Yes. Edge Impulse supports multi-axis accelerometer input natively. You can combine vibration (3-axis accel), temperature, and current data into a single inference pipeline. The STM32H7's 1 MB SRAM accommodates the larger feature vectors from multi-sensor input without memory pressure.