ClarusC64/aviation-propulsion-aerodynamics-decoherence-precursor-detection-v0.1
What this dataset tests Whether a system can detect early decoherence between propulsion behavior and aerodynamic response. The signal is relationship drift: lag expansion correlation collapse nonlinear divergence oscillatory mismatch. Required outputs decoherence_onset_time precursor_pattern_type severity_gradient failure_likelihood_index estimated_time_to_critical_min primary_decoupling_channels Scoring conventions onset time is minutes from window start severity and… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-propulsion-aerodynamics-decoherence-precursor-detection-v0.1.
What this dataset tests
Whether a system can detect early decoherence between propulsion behavior and aerodynamic response.
The signal is relationship drift: lag expansion correlation collapse nonlinear divergence oscillatory mismatch.
Required outputs
- decoherenceonsettime
- precursorpatterntype
- severity_gradient
- failurelikelihoodindex
- estimatedtimetocriticalmin
- primarydecouplingchannels
Scoring conventions
- onset time is minutes from window start
- severity and likelihood range 0 to 1
- time to critical is a minute estimate
- primary channels name the broken relationships, e.g. EGT->IAS lag
Use case
Layer two of Propulsion–Aerodynamics Coupling Decoherence Signatures.
Supports:
- earlier intervention before alarms
- separation of sensor-fault vs true precursor
- maintenance and diversion decision support