Benchmark RadarCruiseBench
CruiseBench evaluates remaining useful life prediction for aircraft engines using a fixed cruise-stage protocol derived from N-CMAPSS. It provides a reproducible sub-benchmark with datasets and baseline results for LSTM, GRU, TCN, and TSMixer models under specific settings.
- Released
- 2026-07-01
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
RUL prediction is critical for maintenance planning, but existing benchmarks like N-CMAPSS lack evaluation control due to full-flight records. CruiseBench offers a controlled, reproducible setting for fair comparison of RUL models, reducing variability from stage and preprocessing choices.
Motivation
Remaining useful life (RUL) prediction estimates how long an engine can continue safe operation and is central to maintenance planning.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.