VibrationGuard Predictive Maintenance System
Artificial ear that hears failures 2 weeks ahead by listening to machines.
Artificial ear that hears failures 2 weeks ahead by listening to machines. FFT analysis and machine learning for predictive maintenance.
Unplanned machine downtime causes millions in losses annually. VibrationGuard is our Industry 4.0 solution for motor health monitoring and failure prediction.
MEMS accelerometer sensors collect vibration data at 10,000 samples per second. Data converted to frequency domain via FFT algorithm feeds into ML model.
3D motor visualization and real-time vibration waveform analysis enable operators to instantly see motor health status. System can predict bearing and imbalance failures 2 weeks in advance.
Integrates with existing SCADA systems via OPC-UA protocol. Complete predictive maintenance solution with RPM tracking, temperature monitoring, and critical alert system.
Challenge
Unexpected failures and unplanned downtime in industrial motors.
Solution
FFT analysis, ML-based failure prediction, 3D visualization, OPC-UA integration. 2-week advance warning.
Technical Specifications
| Sensor | MEMS 3-axis ±16g |
| Sampling | 10kHz / channel |
| FFT Resolution | 4096 points |
| Frequency Range | 0.5Hz - 5kHz |
| ML Model | Random Forest + LSTM |
| Prediction Window | 14 days ahead |
| Integration | OPC-UA / Modbus |
| Dashboard | 3D + Web + Mobile |