Predictive Maintenance with Edge AI

Monitoring machinery vibration, temperature, and current patterns to detect anomalies before failures occur. Models analyze time-series sensor data to predict remaining useful life or flag abnormal behavior. Runs continuously on low-power MCUs attached to industrial equipment.

Hardware Requirements

Minimum RAM 64 KB
Minimum Flash 512 KB
Sensor Inputs accelerometer, temperature
Typical Model Size 30 KB (quantized int8)

Compatible Microcontrollers

Hardware Guides

ESP32-C3 Predictive Maintenance with Edge Impulse

Excellent

The ESP32-C3 is an excellent match for predictive maintenance with Edge Impulse. 400 KB SRAM delivers 6.3x the 64 KB minimum while 160 MHz p…

ESP32-C3 Predictive Maintenance with TFLite

Possible

The ESP32-C3 handles predictive maintenance classification with TFLite Micro, though its single RISC-V core at 160 MHz requires careful reso…

ESP32-C6 Predictive Maintenance with Edge Impulse

Excellent

Espressif's ESP32-C6 excels at predictive maintenance via Edge Impulse. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 30 KB quantize…

ESP32-C6 Predictive Maintenance with TFLite Micro

Excellent

Espressif's ESP32-C6 excels at predictive maintenance via TFLite Micro. The 1-core risc-v at 160 MHz with 512 KB SRAM handles 30 KB quantize…

ESP32 Predictive Maintenance with Edge Impulse

Good

The ESP32 handles vibration-based predictive maintenance with Edge Impulse by classifying accelerometer patterns into normal, warning, and f…

ESP32 Predictive Maintenance with TFLite Micro

Excellent

The ESP32 is an excellent match for predictive maintenance with TFLite Micro. 520 KB SRAM delivers 8.1x the 64 KB minimum while 240 MHz proc…

ESP32-S3 Predictive Maintenance with Edge Impulse

Excellent

The ESP32-S3 is an excellent match for predictive maintenance with Edge Impulse. 512 KB SRAM delivers 8.0x the 64 KB minimum while 240 MHz p…

ESP32-S3 Predictive Maintenance with TFLite Micro

Excellent

The ESP32-S3 is an excellent match for predictive maintenance with TFLite Micro. 512 KB SRAM delivers 8.0x the 64 KB minimum while 240 MHz p…

i.MX RT1062 Predictive Maintenance with CMSIS-NN

Excellent

For predictive maintenance, the i.MX RT1062 with CMSIS-NN scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 600 MHz…

i.MX RT1062 Predictive Maintenance with TFLite Micro

Excellent

For predictive maintenance, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 600…

nRF52833 Predictive Maintenance with Edge Impulse

Good

Running predictive maintenance on the nRF52833 with Edge Impulse is practical. 128 KB SRAM meets the 64 KB minimum with 2.0x headroom. The 6…

nRF52833 Predictive Maintenance with TFLite Micro

Good

Running predictive maintenance on the nRF52833 with TFLite Micro is practical. 128 KB SRAM meets the 64 KB minimum with 2.0x headroom. The 6…

nRF52840 Predictive Maintenance with Edge Impulse

Excellent

For predictive maintenance, the nRF52840 with Edge Impulse scores Excellent. Its 256 KB internal SRAM (4.0x the required 64 KB) and 64 MHz c…

nRF52840 Predictive Maintenance with TFLite Micro

Excellent

For predictive maintenance, the nRF52840 with TFLite Micro scores Excellent. Its 256 KB internal SRAM (4.0x the required 64 KB) and 64 MHz c…

RA6M5 Predictive Maintenance with CMSIS-NN

Excellent

Renesas's RA6M5 excels at predictive maintenance via CMSIS-NN. The 1-core cortex-m33 at 200 MHz with 512 KB SRAM handles 30 KB quantized mod…

RA6M5 Predictive Maintenance with TFLite Micro

Excellent

For predictive maintenance, the RA6M5 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 200 MHz clo…

STM32F4 Predictive Maintenance with Edge Impulse

Good

Running predictive maintenance on the STM32F4 with Edge Impulse is practical. 192 KB SRAM meets the 64 KB minimum with 3.0x headroom. The 16…

STM32F4 Predictive Maintenance with TFLite Micro

Good

The STM32F4 is a widely used Cortex-M4 for vibration-based predictive maintenance. With 192 KB SRAM, 168 MHz clock, and DSP instructions, it…

STM32F7 Predictive Maintenance with CMSIS-NN

Excellent

STMicroelectronics's STM32F7 excels at predictive maintenance via CMSIS-NN. The 1-core cortex-m7 at 216 MHz with 512 KB SRAM handles 30 KB q…

STM32F7 Predictive Maintenance with TFLite Micro

Excellent

The STM32F7 is an excellent match for predictive maintenance with TFLite Micro. 512 KB SRAM delivers 8.0x the 64 KB minimum while 216 MHz pr…

STM32H7 Predictive Maintenance with CMSIS-NN

Excellent

STMicroelectronics's STM32H7 excels at predictive maintenance via CMSIS-NN. The 1-core cortex-m7 at 480 MHz with 1024 KB SRAM handles 30 KB …

STM32H7 Predictive Maintenance with Edge Impulse

Excellent

The STM32H7 paired with Edge Impulse delivers industrial-grade predictive maintenance. The 1 MB SRAM and 480 MHz Cortex-M7 handle multi-sens…

STM32H7 Predictive Maintenance with TFLite Micro

Excellent

The STM32H7 is an excellent match for predictive maintenance with TFLite Micro. 1024 KB SRAM delivers 16.0x the 64 KB minimum while 480 MHz …

STM32L4 Predictive Maintenance with Edge Impulse

Good

The STM32L4 with Edge Impulse enables battery-operated predictive maintenance for remote machinery. Its ultra-low-power modes (under 100 nA …

STM32L4 Predictive Maintenance with TFLite Micro

Good

The STM32L4 handles predictive maintenance effectively with TFLite Micro. 128 KB SRAM at 80 MHz provides 2.0x headroom over the 64 KB requir…

STM32U5 Predictive Maintenance with CMSIS-NN

Excellent

The STM32U5 is an excellent match for predictive maintenance with CMSIS-NN. 786 KB SRAM delivers 12.3x the 64 KB minimum while 160 MHz proce…

STM32U5 Predictive Maintenance with TFLite Micro

Excellent

STMicroelectronics's STM32U5 excels at predictive maintenance via TFLite Micro. The 1-core cortex-m33 at 160 MHz with 786 KB SRAM handles 30…

Industry Applications

Manufacturing Energy Building Automation Transportation Mining

Build Predictive Maintenance with ForestHub

ForestHub compiles visual AI workflows to C code for your microcontroller. Choose your hardware, build your predictive maintenance pipeline, deploy in minutes.