Cheng‐Wei Fei
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View article: Multi-Agent Reinforcement Symbolic Regression for the Fatigue Life Prediction of Aircraft Landing Gear
Multi-Agent Reinforcement Symbolic Regression for the Fatigue Life Prediction of Aircraft Landing Gear Open
Accurate fatigue life prediction of aircraft landing gear is crucial for ensuring flight safety and preventing catastrophic structural failures. However, traditional empirical methods face significant limitations in capturing complex multi…
View article: Estimating resting energy expenditure in severely obese patients with laparoscopic sleeve gastrectomy: Normalized lean weight appears to be more accurate: A prospective observational study
Estimating resting energy expenditure in severely obese patients with laparoscopic sleeve gastrectomy: Normalized lean weight appears to be more accurate: A prospective observational study Open
The pREEesn/nlw demonstrated improved predictive accuracy for mREE in severely obese patients who underwent laparoscopic sleeve gastrectomy.
View article: Heat insulation and deformation resistance assessment of a novel variable-diameter lattice structure
Heat insulation and deformation resistance assessment of a novel variable-diameter lattice structure Open
High speed, large load capacity and long range are design requirements of future aircraft, which results the increase of aerodynamic load and temperature of aircraft surface. For requirements of high heat insulation performance and high lo…
View article: Novel Integrated Model Approach for High Cycle Fatigue Life and Reliability Assessment of Helicopter Flange Structures
Novel Integrated Model Approach for High Cycle Fatigue Life and Reliability Assessment of Helicopter Flange Structures Open
As one of the critical components in helicopter transmission systems, the flange is prone to fatigue damage and failure under complex operational conditions, which seriously influence operational safety and service life. To improve the str…
View article: Structural design of aeroengine radiators: State of the art and perspectives
Structural design of aeroengine radiators: State of the art and perspectives Open
202507 bcch
View article: LightCL: Compact Continual Learning with Low Memory Footprint For Edge Device
LightCL: Compact Continual Learning with Low Memory Footprint For Edge Device Open
Continual learning (CL) is a technique that enables neural networks to constantly adapt to their dynamic surroundings. Despite being overlooked for a long time, this technology can considerably address the customized needs of users in edge…
View article: MSA-GAN: A novel method for inpainting EBSD image via cellular automation and deep learning
MSA-GAN: A novel method for inpainting EBSD image via cellular automation and deep learning Open
Electron backscatter diffraction (EBSD) is an important technique for analyzing the microstructure of materials. Unfortunately, EBSD images obtained by experimental means often suffer from different types of information loss, which affect …
View article: AHA-Kriging surrogate model method for surface partition flaw tolerance assessment of turbine blisk
AHA-Kriging surrogate model method for surface partition flaw tolerance assessment of turbine blisk Open
The high-pressure turbine blade in aero-engine power system may experience microstructural degradation due to uncertain flaws, multi-physical fields and loads during manufacturing, processing, installation, and maintenance, leading to seri…
View article: Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label Open
Sample selection is the most straightforward technique to combat label noise, aiming to distinguish mislabeled samples during training and avoid the degradation of the robustness of the model. In the workflow, $\textit{selecting possibly c…
View article: Operational Reliability Analysis of Turbine Blisk Using an Enhanced Moving Neural Network Framework
Operational Reliability Analysis of Turbine Blisk Using an Enhanced Moving Neural Network Framework Open
As one of the key components of an aeroengine, turbine blisk endures complex coupling loads under a harsh operational environment so that the reliability of turbine blisk directly influences the safe operation of aeroengine. It is urgent t…
View article: Deep learning-based modeling method for probabilistic LCF life prediction of turbine blisk
Deep learning-based modeling method for probabilistic LCF life prediction of turbine blisk Open
Turbine blisk is one of the typical components of gas turbine engines. The fatigue life of turbine blisk directly affects the reliability and safety of both turbine blisk and aeroengine whole-body. To monitor the performance degradation of…
View article: LCF Lifetime Reliability Prediction of Turbine Blisks Using Marine Predators Algorithm-Based Kriging Method
LCF Lifetime Reliability Prediction of Turbine Blisks Using Marine Predators Algorithm-Based Kriging Method Open
To achieve the low-cycle fatigue (LCF) lifetime prediction and reliability estimation of turbine blisks, a Marine Predators Algorithm (MPA)-based Kriging (MPA-Kriging) method is developed by introducing the MPA into the Kriging model. To o…
View article: Multi-Extremum Adaptive Fuzzy Network Method for Dynamic Reliability Estimation Method of Vectoring Exhaust Nozzle
Multi-Extremum Adaptive Fuzzy Network Method for Dynamic Reliability Estimation Method of Vectoring Exhaust Nozzle Open
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 (AN…
View article: Optimizable Image Segmentation Method with Superpixels and Feature Migration for Aerospace Structures
Optimizable Image Segmentation Method with Superpixels and Feature Migration for Aerospace Structures Open
The lack of high-quality, highly specialized labeled images, and the expensive annotation cost are always critical issues in the image segmentation field. However, most of the present methods, such as deep learning, generally require plent…
View article: Synthetical Modal Parameters Identification Method of Damped Oscillation Signals in Power System
Synthetical Modal Parameters Identification Method of Damped Oscillation Signals in Power System Open
It is vital to improve the stability of the power system by accurately identifying the modal parameters of damped low-frequency oscillations (DLFO) and controlling the oscillation in time. A new method based on empirical mode decomposition…
View article: Hierarchical model updating strategy of complex assembled structures with uncorrelated dynamic modes
Hierarchical model updating strategy of complex assembled structures with uncorrelated dynamic modes Open
In structural simulation and design, an accurate computational model directly determines the effectiveness of performance evaluation. To establish a high-fidelity dynamic model of a complex assembled structure, a Hierarchical Model Updatin…
View article: Dynamic parametric modeling-based model updating strategy of aeroengine casings
Dynamic parametric modeling-based model updating strategy of aeroengine casings Open
For accurate Finite Element (FE) modeling for the structural dynamics of aeroengine casings, Parametric Modeling-based Model Updating Strategy (PM-MUS) is proposed based on efficient FE parametric modeling and model updating techniques reg…
View article: Novel Kriging-Based Decomposed-Coordinated Approach for Estimating the Clearance Reliability of Assembled Structures
Novel Kriging-Based Decomposed-Coordinated Approach for Estimating the Clearance Reliability of Assembled Structures Open
Turbine blisks are assembled using blades, disks and casings. They can endure complex loads at a high temperature, high pressure and high speed. The safe operation of assembled structures depends on the reliability of each co... | Find, re…
View article: Fault Diagnosis of Intershaft Bearing Using Variational Mode Decomposition with TAGA Optimization
Fault Diagnosis of Intershaft Bearing Using Variational Mode Decomposition with TAGA Optimization Open
To efficiently extract the features of aeroengine intershaft bearing faults with weak signal, the variational mode decomposition (VMD) method based on the tolerant adaptive genetic algorithm (TAGA) (TAGA‐VMD) is proposed by introducing the…
View article: Fusion Fault Diagnosis Approach to Rolling Bearing with Vibrational and Acoustic Emission Signals
Fusion Fault Diagnosis Approach to Rolling Bearing with Vibrational and Acoustic Emission Signals Open
As the key component in aeroengine rotor systems, the health status of rolling bearings directly influences the reliability and safety of aeroengine rotor systems. In order to monitor rolling bearing conditions, a fusion faul... | Find, re…
View article: Transient Reliability Evaluation Approach of Flexible Mechanism with GA-Extremum Neural Network
Transient Reliability Evaluation Approach of Flexible Mechanism with GA-Extremum Neural Network Open
Efficient analytical model directly enhances the reliability evaluation of flexible mechanism under operation. In this paper, genetic algorithm-based extremum neural network (GA-ENN) is developed as reliability model by introducing the tho…
View article: Whole-process design and experimental validation of landing gear lower drag stay with global/local linked driven optimization strategy
Whole-process design and experimental validation of landing gear lower drag stay with global/local linked driven optimization strategy Open
Landing gear lower drag stay is a key component which connects fuselage and landing gear and directly effects the safety and performance of aircraft takeoff and landing. To effectively design the lower drag stay and reduce the weight of la…
View article: Flexible sensor matrix film-based wearable plantar pressure force measurement and analysis system
Flexible sensor matrix film-based wearable plantar pressure force measurement and analysis system Open
Plantar pressure force data derived from gait and posture are commonly used as health indicators for foot diagnosis, injury prevention, and rehabilitation. This study developed a wearable plantar pressure force measurement and analysis (WP…