[HTML][HTML] Machine learning in aerodynamic shape optimization

J Li, X Du, JRRA Martins - Progress in Aerospace Sciences, 2022 - Elsevier
Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

A review on machine learning, big data analytics, and design for additive manufacturing for aerospace applications

S Chinchanikar, AA Shaikh - Journal of Materials Engineering and …, 2022 - Springer
Additive manufacturing (AM) has emerged as a promising technology to cater to the
increasing demand for the fabrication of multi-functional, multi-material, and complex parts …

[PDF][PDF] 飞机结构数字孪生关键建模仿真技术

董雷霆, 周轩, 赵福斌, 贺双新, 卢志远, 冯建民 - 航空学报, 2021 - researchgate.net
飞机结构安全性设计思想经历了从静强度设计, 安全寿命设计, 损伤容限与耐久性设计到单机
追踪的演变, 未来有进一步向结构数字孪生的方向发展的趋势. 飞机结构数字孪生是数字线程 …

[HTML][HTML] Deep learning with dynamically weighted loss function for sensor-based prognostics and health management

D Rengasamy, M Jafari, B Rothwell, X Chen… - Sensors, 2020 - mdpi.com
Deep learning has been employed to prognostic and health management of automotive and
aerospace with promising results. Literature in this area has revealed that most contributions …

Aircraft engines remaining useful life prediction based on a hybrid model of autoencoder and deep belief network

H Al-Khazraji, AR Nasser, AM Hasan… - IEEE …, 2022 - ieeexplore.ieee.org
Remaining Useful Life (RUL) is used to provide an early indication of failures that required
performing maintenance and/or replacement of the system in advance. Accurate RUL …

A hybrid deep learning approach for driver distraction detection

JM Mase, P Chapman, GP Figueredo… - … on information and …, 2020 - ieeexplore.ieee.org
The World Health Organisation reports distracted driving actions as the main cause of road
traffic accidents. Current studies to detect distraction postures focus on analysing spatial …

[HTML][HTML] Vision-based spacecraft pose estimation via a deep convolutional neural network for noncooperative docking operations

T Phisannupawong, P Kamsing, P Torteeka… - Aerospace, 2020 - mdpi.com
The capture of a target spacecraft by a chaser is an on-orbit docking operation that requires
an accurate, reliable, and robust object recognition algorithm. Vision-based guided …

[HTML][HTML] Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model

Y Deng, A Di Bucchianico, M Pechenizkiy - Reliability Engineering & …, 2020 - Elsevier
In modern industrial systems, sensor data reflecting the system health state are commonly
used for the remaining useful lifetime (RUL) prediction, which are increasingly processed by …

Driver drowsiness detection using modified deep learning architecture

V Kumar, S Sharma, Ranjeet - Evolutionary Intelligence, 2023 - Springer
This paper proposes a non-invasive approach to detect driver drowsiness. The facial
features are used for detecting the driver's drowsiness. The mouth and eye regions are …

Applications of deep learning in big data analytics for aircraft complex system anomaly detection

S Ning, J Sun, C Liu, Y Yi - … , Part O: Journal of Risk and …, 2021 - journals.sagepub.com
Big data analytics with deep learning approach have attracted increasing attention in
transportation engineering, involving operations, maintenance, and safety. In commercial …