Condition Monitoring

What Is Condition Monitoring?
Condition monitoring refers to the systematic collection and analysis of operating parameters of industrial systems and machines. This methodical approach enables precise evaluation of the current machine condition and the early detection of potential disruptions or failures.
Methodological Foundations
Systematic condition monitoring is based on the continuous recording of critical operating parameters. Fundamental monitoring components include the measurement and analysis of:
Physical Parameters:
- Vibration measurements to detect mechanical anomalies
- Temperature profiles of critical components
- Acoustic signature analysis
Operational Metrics:
- Energy consumption and performance behavior
- Speed and torque fluctuations
- Process-relevant quality parameters
Systematic Implementation
The successful integration of condition monitoring requires a structured implementation approach:
Implementation Process:
- Installation of specific sensor systems
- Establishment of data collection processes
- Definition of thresholds and alert limits
- Development of analysis algorithms
Digital Infrastructure
Modern condition monitoring systems leverage advanced technologies:
Technological Components:
- IoT-based sensor networks
- Edge Computing for real-time analysis
- Cloud platforms for data aggregation
- AI-supported anomaly detection
Performance Evaluation
The systematic assessment of machine performance is conducted through:
Quantitative Analyses:
- Trend analysis of critical parameters
- Comparison with predefined target values
- Forecasts of remaining service life
The integration of these metrics enables predictive maintenance and supports the systematic optimization of equipment availability in industrial manufacturing.