Operational
Mechanism.
Technical details of field integration, data flow, and autonomous decision algorithms.
Edge Hardware
High Frequency Acoustic Sensor (10–100 kHz)
Vibration Accelerometer
Thermal Camera
NVIDIA Jetson Orin NX
Artificial Intelligence
Navigation (SLAM)
Autonomous patrol along conveyor line with stops at bearing points (stop-and-listen)
Perception & Analysis
Bearing Degradation Frequency Signature Classification (BPFO/BPFI/BSF Anomaly Detection)
Autonomous Workflow
The robot stops at each bearing point along the conveyor line, collecting 5-second acoustic and vibration data.
Edge AI detects early wear by comparing bearing degradation frequency signatures (BPFO, BPFI, BSF) against baseline.
Bearing temperature profile cross-validated with thermal camera; failure probability predicted with 95%+ confidence through acoustic + thermal correlation.
Automatic work order opened in CMMS for detected degrading bearings; spare parts order transmitted to ERP.
Operational ROI.
Strategic Decision.
EXPECTED BALANCE IMPACT
Annual $68,000 maintenance and production loss prevention savings. ROI: 3.4x | Payback: 1.3 Years.
Reduces unplanned conveyor downtime by 91%; prevents an average of 18 hours of unplanned downtime per year.
Review Architecture
Plans with
Professional Presentation.
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