Hardware LabSoftware LabClient project
OptiVibe Industrial Machine Condition Monitoring
High-frequency vibration and thermal telemetry network attached to industrial extruders with edge anomaly detection and predictive maintenance alerts.
- equipment availability
- 99.8%
- fault alert propagation
- < 1.5s
The challenge
Unplanned bearing failures on primary drive motors caused costly unplanned production line shutdowns and ruined polymer batches.
What we built
Tri-axial MEMS accelerometers with high-speed ADC sampling, edge ESP32-S3 signal processing (FFT analysis), and a centralized SCADA-style web monitoring suite.
Tools
- ESP32-S3
- MEMS Accelerometers
- FFT DSP
- Next.js
- Node.js
- WebSockets
The result
Detects bearing harmonic degradation up to two weeks before catastrophic failure, maintaining 99.8% equipment availability.