Diagnostic Feature Extraction and Filtering Criterion for Fatigue Crack Growth Using High Frequency Parametrical...

Area of Science:

• Offshore Engineering
• Structural Health Monitoring
• Materials Science

Background:

• Mooring systems are critical for offshore assets, facing severe environmental conditions and cyclic loads.
• Early detection and characterization of fatigue crack growth in these systems present a significant challenge.

Purpose of the Study:

• To develop filtering and alarm criteria for different fatigue crack growth stages.
• To evaluate recorded signals and their features for damage assessment.

Main Methods:

• Analysis and definition of parametric limits for signal features.
• Correlation of signal characteristics with crack growth stages.
• Development of a filtering criterion to distinguish noise, initiation, and growth signals.

Main Results:

• Successfully identified approaches to differentiate between noise, crack initiation, and growth-related signals.
• Established a filtering criterion to support the identification of distinct crack growth phases.
• Demonstrated the potential for early warning of potential damage in mooring systems.

Conclusions:

• The developed filtering criterion effectively supports the identification of different crack growth stages and noise.
• This approach provides a foundation for early warning systems for potential damage in offshore mooring systems.