|
|
|
|
|
Jun Fang, Tianhong Zhang, Zhaohui Cen and Elias Tsoutsanis
The starter generator, characterized by controllable starting torque and disturbance in generator load torque, poses challenges for the multi-electric aero engine control. The key to addressing this issue lies in multi-electric aero engine control with t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haopeng Zhang, Runhan Li, Kuan Lu, Xiaohui Gu, Ruijuan Sang and Donglin Li
The twin-spool rotor-bearing system plays a crucial role in the aero-engine. The potential manufacturing defect, assembly error, and abnormal working loads in the rotor-bearing system can induce multiple rotor failures, such as bolt looseness and rub imp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weixuan Wang, Jingbo Peng and Yu Zhang
This paper presents a study on the modeling and control of an aero-engine within the full flight envelope using the Takagi?Sugeno (T-S) fuzzy theory. A highly accurate aero-engine small deviation state variable model (SVM) was developed using the adaptiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenbo Gao, Muxuan Pan, Wenxiang Zhou, Feng Lu and Jin-Quan Huang
Due to the strong representation ability and capability of learning from data measurements, deep reinforcement learning has emerged as a powerful control method, especially for nonlinear systems, such as the aero-engine control system. In this paper, a n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zichen Yan, Jianzhong Sun, Yang Yi, Caiqiong Yang and Jingbo Sun
Data analysis is an important part of aero engine health management. In order to complete accurate condition monitoring, it is necessary to establish more effective analysis tools. Therefore, an integrated algorithm library dedicated for engine anomaly d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunyi Zhang, Zheshan Yuan, Huan Li, Jiongran Wen, Shengkai Zheng and Chengwei Fei
To enhance the accuracy and efficiency of reliability analysis for an aero-engine vectoring exhaust nozzle (VEN), a multi-extremum adaptive fuzzy network (MEAFN) method is developed by absorbing an adaptive neuro-fuzzy inference system (ANFIS) into the m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Markus Baumann, Christian Koch and Stephan Staudacher
Model-based predictive maintenance using high-frequency in-flight data requires digital twins that can model the dynamics of their physical twin with high precision. The models of the twins need to be fast and dynamically updatable. Machine learning offe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingxian Wang, Hongyan Wang, Langfu Cui, Gang Xiang, Xiaoxuan Han, Qingzhen Zhang and Juan Chen
The aero-engine is the heart of an aircraft; its performance deteriorates rapidly due to the high temperature and high-pressure environment during flights. It is necessary to predict the remaining useful life (RUL) to improve the reliability of aero-engi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexios Alexiou, Nikolaos Aretakis, Ioannis Kolias and Konstantinos Mathioudakis
This paper presents a modular, flexible, extendable and fast-computational framework that implements a multidisciplinary, varying fidelity, multi-system approach for the conceptual and preliminary design of novel aero-engines. In its current status, the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan Fang, Maochun Luo, Jiqiang Wang and Zhongzhi Hu
The simulation of an aero-engine control system involves numerous disciplines due to its complex functions and architecture, which generally consist of mechanical, hydraulic and electrical, and electronic systems. For each discipline, the modeling and si...
ver más
|
|
|
|
|
|