Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Linfeng Gou"'
Publikováno v:
Aerospace, Vol 11, Iss 11, p 940 (2024)
This study introduces a novel tracking control strategy tailored to aeroengines, which are highly nonlinear and characterized by significant uncertainty. The proposed method entails a robust extended Kalman filter (REKF) enhanced by a forgetting fact
Externí odkaz:
https://doaj.org/article/53c0db1da4f44e55b7a17fdc2c004128
Fault Diagnosis of Aeroengine Control System Sensor Based on Optimized and Fused Multidomain Feature
Publikováno v:
IEEE Access, Vol 10, Pp 96967-96983 (2022)
Improving the efficacy and dependability of aeroengines requires timely and effective sensor fault diagnosis. Deep learning-based fault diagnosis method is a current research hotspot. To overcome some of the method’s existing shortcomings and impro
Externí odkaz:
https://doaj.org/article/b605a531fa824959ad46ae0fcb74f3b0
Publikováno v:
Aerospace, Vol 10, Iss 7, p 644 (2023)
Sensor health assessments are of great importance for accurately understanding the health of an aeroengine, supporting maintenance decisions, and ensuring flight safety. This study proposes an intelligent framework based on a physically guided neural
Externí odkaz:
https://doaj.org/article/35e7f221e15343b694b18bfe42c98721
Publikováno v:
Aerospace, Vol 10, Iss 6, p 496 (2023)
Aiming at engine health management, a novel hybrid prediction method is proposed for exhaust gas temperature (EGT) prediction of gas turbine engines. This hybrid model combines a nonlinear autoregressive with exogenous input (NARX) model and a moving
Externí odkaz:
https://doaj.org/article/a99a10a43dd4494e8e0ae1e4ce3d3c6d
Publikováno v:
IEEE Access, Vol 8, Pp 10186-10197 (2020)
An aero-engine is a complex aerodynamic thermal system, which can operate in extreme environments for long periods. It is crucial to diagnose any faults of the aero-engine control system accurately. At present, most aero-engine control system fault d
Externí odkaz:
https://doaj.org/article/8ef7d7e5b35f489b94a71d23c8c29d8c
Publikováno v:
IEEE Access, Vol 8, Pp 104857-104869 (2020)
This study was conducted to develop a novel tracking control strategy for aeroengines with strong nonlinearity and uncertainty. Compared to existing robust gain-scheduling control strategies, the proposed control strategy has relatively low conservat
Externí odkaz:
https://doaj.org/article/87eaf4cac18745b0ae0ff5878ff138ba
Autor:
Linfeng Gou, Meijuan Wang
Publikováno v:
IEEE Access, Vol 7, Pp 76480-76488 (2019)
Fuzzy risk analysis is diffusely applied in risk assessment of components by the semantic model. Due to the fuzzy characteristic in the process of fuzzy risk analysis, analysis parameters are imprecise and vague. Therefore, the determination of the r
Externí odkaz:
https://doaj.org/article/2eef49536e8e4c1cb09caa095cbf973f
Autor:
Linfeng Gou, Yu Zhong
Publikováno v:
IEEE Access, Vol 7, Pp 117740-117748 (2019)
Fault diagnosis is an extensively applied issue to monitor condition and diagnose fault for safe and stable operation of the machine, which started to develop during the industrial revolution and contains various theories and technologies. Due to the
Externí odkaz:
https://doaj.org/article/5ec4596d1e344297af11f04b533453d0
Publikováno v:
IEEE Access, Vol 7, Pp 145313-145323 (2019)
Big data processing technologies, e.g., multi-sensor data fusion and cloud computing are being widely used in research, development, manufacturing, health monitoring and maintenance of aero-engines, driven by the ever-rapid development of intelligent
Externí odkaz:
https://doaj.org/article/85a9cd1846ee47eba81694dd1e353a2f
Publikováno v:
International Journal of Aerospace Engineering, Vol 2021 (2021)
Timely and effective fault diagnosis of sensors is crucial to enhance the working efficiency and reliability of the aeroengine. A new intelligent fault diagnosis scheme combining improved pattern gradient spectrum entropy (IPGSE) and convolutional ne
Externí odkaz:
https://doaj.org/article/582fc0bae1ae4a6c92a3d532e645c089