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AI-Powered Predictive Maintenance System (25AI114)
The AI-Powered Predictive Maintenance System reads live industrial telemetry variables to forecast equipment component failures before lines break down.
Why Build This System?
- Eliminates sudden assembly delays
- Maximizes machine component lifespans
Key Features
- Sensor parameter streaming links
- Hardware wear-and-tear forecasting
System Basics
The network tracks temperature, vibration amplitude, and load metrics over time, identifying micro-anomalies that point to eventual structural wear.
Code Snippet:
# Basic thermal threshold checking logic
temp = [72, 75, 98, 104]
print("Warning Status:", max(temp) > 100)Learning Outcomes:
- Connect sensor arrays to predictive backends
- Deploy heavy industry industrial logic