论文标题
下一代成像大气Cherenkov望远镜的故障类型检测和预测维护
Failure type detection and predictive maintenance for the next generation of imaging atmospheric Cherenkov telescopes
论文作者
论文摘要
下一代的成像大气Cherenkov望远镜将由数百个望远镜组成，以试图揭示高能宇宙的一些基本物理。除了科学数据外，还将收集来自气象站，仪器传感器，日志记录文件等的大量家政服务和辅助数据。在受监督和强化学习算法的驱动下，可以利用这些数据将预测性维护和故障类型检测应用于这些天体物理设施。在本文中，我们介绍该项目，旨在触发一个模型的开发，该模型能够及时预测即将到来的组件失败以及他们的善良和严重性
The next generation of imaging atmospheric Cherenkov telescopes will be composed of hundreds of telescopes working together to attempt to unveil some fundamental physics of the high-energy Universe. Along with the scientific data, a large volume of housekeeping and auxiliary data coming from weather stations, instrumental sensors, logging files, etc., will be collected as well. Driven by supervised and reinforcement learning algorithms, such data can be exploited for applying predictive maintenance and failure type detection to these astrophysical facilities. In this paper, we present the project aiming to trigger the development of a model that will be able to predict, just in time, forthcoming component failures along with their kind and severity
