# Condition Monitoring & Diagnostics
Condition monitoring is the data collection layer that feeds predictive maintenance. Different equipment types require different monitoring strategies. The goal is detecting degradation early enough to plan maintenance but accurately enough to avoid false alarms that erode trust.
Monitoring Technologies by Equipment Type
| Equipment Type | Primary Monitoring | Secondary Monitoring | |---------------|-------------------|---------------------| | Rotating machinery (motors, pumps) | Vibration analysis | Temperature, current draw | | Hydraulic systems | Fluid analysis, pressure | Temperature, flow rate | | Electrical systems | Thermal imaging | Power quality, insulation resistance | | Bearings | Vibration (high-frequency) | Temperature, acoustic emission | | Heat exchangers | Temperature differential | Pressure drop, flow rate | | Compressors | Vibration, pressure | Temperature, power consumption |
AI-Powered Vibration Analysis
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What you'll learn:
- Design condition monitoring strategies for different equipment types
- Use AI to analyze vibration, temperature, and other sensor data
- Build diagnostic models that identify failure modes from condition data