Engineering note
FPGA, NPU or MPU? Partitioning an Edge AI Architecture
A practical guide to partitioning edge AI workloads across FPGA, NPU, MPU and MCU resources by latency, power and software needs.
Read the note →Industrial condition monitoring
ForgePulse — Wireless Vibration Monitoring for Predictive Maintenance
A compact sensing node for scheduled high-bandwidth vibration capture, local feature extraction and wireless delivery of actionable machine-health data.
Predictive maintenance requires more than a low-rate accelerometer reading. Bearing defects, imbalance, looseness and transient mechanical events can occupy very different frequency bands and operating conditions. A useful node must combine the right sensor bandwidth, repeatable mounting, controlled sampling and enough local intelligence to avoid sending raw data continuously.
ForgePulse is designed as a configurable wireless vibration monitoring platform: measurement windows, sampling rates and trigger logic are matched to the machine and failure modes. The node can store raw windows, calculate selected features and send summaries or alerts over a short-range or long-range wireless link.
System architecture
1
Sensing
Low-noise, wide-band accelerometer and mounting strategy.
2
Acquisition
Scheduled or triggered sampling with selectable bandwidth.
3
Edge analytics
RMS, crest factor, spectral bands and customer algorithms.
4
Connectivity
BLE for commissioning and optional long-range telemetry for field deployment.
Capabilities
Engineering scope
- Configurable sampling and measurement windows
- Local raw-data buffering and timestamping
- Band energy, RMS and threshold-based indicators
- Adaptive high-bandwidth capture after a detected anomaly
- Battery and external-power variants
- Commissioning, firmware update and device-health telemetry
Applications
Typical use cases
- Motors, pumps and gearboxes
- Factory maintenance routes
- Remote infrastructure assets
- Machine acceptance testing
- Pilot predictive-maintenance programs
- Research-grade vibration data collection
Specification discipline
What is defined during a pilot.
Values depend on the selected sensors, processor, interfaces, environment and acceptance method.
| Area | Definition |
|---|---|
| Measurement plan | Defined from the target fault frequencies and machine speed range. |
| Wireless duty cycle | Optimized around battery life, payload size and reporting urgency. |
| Mounting repeatability | Mechanical interface is treated as part of the measurement system. |
| Program status | Pilot-oriented platform; enclosure, radio and analytics are configured per deployment. |
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Explore system →Define your ForgePulse configuration.
Send the interfaces, environment, decision metric and pilot quantity. We will identify the architecture and validation plan.