The Challenge
Unplanned assembly line motor failures cost PredictX client factories $50,000 per hour in idle time.
Our Solution
WebZap trained an anomaly detection ML model analyzing vibration and thermal telemetry from IoT sensors.
Key Features Implemented
Specific technical features built into this application.
72-Hour Failure Warning
Predicts bearing wear and motor overheating 3 days before breakdown.
Vibration Frequency Analysis
FFT signal analysis detecting micro-fractures in rotating shafts.
Automated Work-Order Generation
Dispatches maintenance tickets to plant engineers with replacement part specs.
Live Plant Floor Map
Color-coded visual map showing healthy (green) and warning (red) machines.
Key Performance Indicators
Quantifiable results achieved post-launch.
PredictX AI model saved our assembly line from two major motor breakdowns this past quarter alone.
Let's Engineer Your Digital Product
Speak with our lead architect to review technical specs and timelines.