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Pneuma: A Large-Scale Real-World Time Series Benchmark for Commercial Aircraft Predictive Maintenance

Paper recorded by Signals 4 on 2026-10-27 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-27 on arXiv · recorded by Signals 4 on 2026-10-28

Category: cs.LG · 机器学习 · first seen 2026-10-28

Abstract

Predictive maintenance is vital for commercial aviation, yet progress remains hindered by the lack of public, large-scale real-world datasets. As a result, most methods are developed and evaluated on proprietary data, limiting reproducibility. We introduce Pneuma, the first publicly available large-scale benchmark for predictive maintenance using onboard time series from in-service commercial airc

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#157 most recent of 749 cs.LG papers we have recorded · ↑ newer: LCM-Promo: An LLM-Based Uplift Model for Promotion Allocation · ↓ older: Collective Dynamics of Self-Reinforcement: How Cross-Task Coupling Dri
Cite this page: Pneuma: A Large-Scale Real-World Time Series Benchmark for Commercial Aircraft Predictive Maintenance: the #157 most recent of 749 cs.LG papers we have recorded (as of 2026-10-27). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/pneuma-a-large-scale-real-world-time-series-benchmark-for-commercial-aircraft-pr.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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