利用无监督学习检测智能地外栖息地的传感器故障

IF 2.1 3区工程技术 Q2 ENGINEERING, AEROSPACE

AIAA Journal Pub Date : 2024-07-23 DOI:10.2514/1.j063815

Zixin Wang, Mohammad R. Jahanshahi, Mohsen Azimi, Shirley J. Dyke

引用次数: 0

摘要

美国航空航天协会期刊》，印刷版前。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Sensor Fault Detection in Smart Extraterrestrial Habitats Using Unsupervised Learning

AIAA Journal, Ahead of Print.

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来源期刊

AIAA Journal 工程技术-工程：宇航

CiteScore

5.60

自引率

12.00%

发文量

458

审稿时长

4.6 months

期刊介绍： This Journal is devoted to the advancement of the science and technology of astronautics and aeronautics through the dissemination of original archival research papers disclosing new theoretical developments and/or experimental results. The topics include aeroacoustics, aerodynamics, combustion, fundamentals of propulsion, fluid mechanics and reacting flows, fundamental aspects of the aerospace environment, hydrodynamics, lasers and associated phenomena, plasmas, research instrumentation and facilities, structural mechanics and materials, optimization, and thermomechanics and thermochemistry. Papers also are sought which review in an intensive manner the results of recent research developments on any of the topics listed above.