Spectral Fault Receptive Fields

Spectral Fault Receptive Fields are intended for analyzing spectral features in signals to support condition monitoring and prognosis.

Spectral Fault Receptive Fields (SFRFs) are a biologically inspired computational framework for analyzing vibration and spectral signals. They act as optimized contrast filters that emphasize characteristic fault frequencies, making degradation patterns more detectable and interpretable.

This toolbox implements the complete SFRF workflow, including:

• Bearing geometry modelling
• Automatic computation of characteristic fault-frequency bands
• Center–surround receptive-field gain functions
• SFRF computation from temporal or spectral data
• Parallel-ready FFT and SFRF ensemble processors

SFRFs strengthen the link between spectral patterns and machine condition, enabling early fault detection and diagnosis-informed prognosis for rotating machinery.