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CruiseBench：与真实飞行对齐的N-CMAPSS引擎剩余使用寿命预测基准CruiseBench: A Real-Flight-Aligned N-CMAPSS Benchmark for Engine RUL Prediction
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以下内容为 AI 自动翻译，英文原文附后供参考。
摘要
CruiseBench的推出标志着引擎剩余使用寿命（RUL）预测模型基准测试的重大进展。该基准源自知名的N-CMAPSS数据集，专门设计用于关注巡航阶段数据，这对于真实的引擎性能评估至关重要。通过建立固定的模型评估协议，CruiseBench旨在增强不同RUL预测模型的可比性，使研究人员和从业者能够在受控条件下评估其有效性。
The introduction of CruiseBench marks a significant advancement in the benchmarking of remaining useful life (RUL) prediction models for engines. This new benchmark is derived from the well-known N-CMAPSS dataset and is specifically designed to focus on cruise-stage data, which is critical for realistic engine performance evaluation. By establishing a fixed protocol for model evaluation, CruiseBench aims to enhance the comparability of different RUL prediction models, allowing researchers and practitioners to assess their effectiveness under controlled conditions.
要点
CruiseBench为航空行业的RUL预测模型评估提供了新的标准。
CruiseBench provides a new standard for evaluating RUL prediction models in the aviation industry.
该基准关注巡航阶段数据，提高了训练数据集的真实性。
The benchmark focuses on cruise-stage data, improving the realism of training datasets.
固定的评估协议允许不同预测模型之间更好的比较。
A fixed evaluation protocol allows for better comparisons between different predictive models.
为何重要
CruiseBench的发展对于提高引擎RUL预测的准确性和可靠性至关重要，这可以改善维护策略并降低航空运营成本。
The development of CruiseBench is crucial for advancing the accuracy and reliability of engine RUL predictions, which can lead to improved maintenance strategies and reduced operational costs in aviation.
产品经理
产品经理应注意，利用CruiseBench可以增强预测维护解决方案的开发，最终提升产品提供和客户满意度。
Product managers should note that utilizing CruiseBench can enhance the development of predictive maintenance solutions, ultimately leading to better product offerings and customer satisfaction.
开发者
对于开发者和工程师而言，CruiseBench提供了一个强大的框架，用于测试和验证RUL预测算法，确保他们的模型既有效又与现实场景相符。
For developers and engineers, CruiseBench provides a robust framework for testing and validating RUL prediction algorithms, ensuring that their models are both effective and aligned with real-world scenarios.
学生与求职者
数据科学和机器学习领域的学生和求职者可以利用CruiseBench作为理解和开发RUL预测模型的宝贵资源，使他们在就业市场上更具竞争力。
Students and job-seekers in the field of data science and machine learning can leverage CruiseBench as a valuable resource for understanding and developing RUL prediction models, making them more competitive in the job market.
覆盖来源
来源标题与摘录保留原文，以便核对与追溯。
arXiv cs.LG
CruiseBench: A Real-Flight-Aligned N-CMAPSS Benchmark for Engine RUL PredictionThe paper introduces CruiseBench, a new benchmark for predicting the remaining useful life (RUL) of engines, derived from the N-CMAPSS dataset. It aims to improve the evaluation of RUL models by using a fixed protocol that focuses on cruise-stage data, thereby facilitating controlled comparisons and enhancing the realism of the data used for training models.