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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...
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Yangjing Wang, Jinquan Huang, Muxuan Pan and Wenxiang Zhou
The variable cycle engine switches working modes by way of changing variable-geometry components to achieve the dual advantages of high unit thrust and low specific fuel consumption. Due to the lack of a large amount of rig test data and the complex mode...
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Wenxiang Zhou, Sangwei Lu, Jinquan Huang, Muxuan Pan and Zhongguang Chen
Accurate component maps, which can significantly affect the efficiency, reliability and availability of aero-engines, play a critical role in aero-engine performance simulation. Unfortunately, the information of component maps is insufficient, leading to...
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Sangwei Lu, Wenxiang Zhou, Jinquan Huang, Feng Lu and Zhongguang Chen
Aero-engines are faced with severe challenges of availability and reliability in the increasing operation, and traditional gas path filtering diagnostic methods have limitations restricted by various factors such as strong nonlinearity of the system and ...
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Wenxiang Pan, Baodeng Hou, Ruixiang Yang, Xuzhu Zhan, Wenkai Tian, Baoqi Li, Weihua Xiao, Jianhua Wang, Yuyan Zhou, Yong Zhao and Xuerui Gao
Although the quantity of household water consumption does not account for a huge proportion of the total water consumption amidst socioeconomic development, there has been a steadily increasing trend due to population growth and improved urbanization sta...
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