A5073292294- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Fault Detection and Control Systems
- Railway Engineering and Dynamics
- Tribology and Lubrication Engineering
- Advanced Algorithms and Applications
- Civil and Geotechnical Engineering Research
- Blind Source Separation Techniques
- Advanced Measurement and Detection Methods
- Geotechnical Engineering and Underground Structures
- Adaptive Control of Nonlinear Systems
- Advanced machining processes and optimization
- Iterative Learning Control Systems
- Control Systems in Engineering
- Advanced Sensor and Control Systems
- Advanced Measurement and Metrology Techniques
- Structural Health Monitoring Techniques
- Control Systems and Identification
- Hydraulic and Pneumatic Systems
- Spectroscopy and Chemometric Analyses
- Teleoperation and Haptic Systems
- Crystallography and molecular interactions
- Advanced Computational Techniques and Applications
Kunming University of Science and Technology
2016-2025
Wuhan Children's Hospital
2024
Huazhong University of Science and Technology
2003-2024
Nanjing University of Science and Technology
2021-2024
Inner Mongolia University
2022-2024
Hefei University of Technology
2024
Tianjin University of Technology and Education
2024
Southwest Jiaotong University
2017-2023
Anqing Normal University
2023
Nanjing Tech University
2022
This paper proposes an adaptive control for a class of nonlinear mechanisms with guaranteed transient and steady-state performance. A performance function characterizing the convergence rate, maximum overshoot, error is used output transformation, such that stabilizing transformed system sufficient to achieve tracking original priori prescribed continuously differentiable friction model adopted account nonlinearities, which primary parameters are online updated. novel high-order neural...
The fault features of rolling bearings under time-varying speed conditions (TVSCs) are often submerged in strong noise. For one thing, the system parameters stochastic resonance (SR) need to match change feature frequency nonstationary signals, which makes process very complex. Order analysis (OA) converts signals into a stationary angular domain signal, and order does not with time spectrum. Because only single becomes simpler more efficient. another, dual-tree complex wavelet packet...
An online adaptive optimal control is proposed for continuous-time nonlinear systems with completely unknown dynamics, which achieved by developing a novel identifier-critic-based approximate dynamic programming algorithm dual neural network (NN) approximation structure. First, an NN identifier designed to obviate the requirement of complete knowledge system and critic employed value function. Then, law computed based on information from NN, so that actor not needed. In particular, design...
Objective: To explore a new predictive model of lymphatic vascular infiltration (LVI) in rectal cancer based on magnetic resonance (MR) and computed tomography (CT). Methods: A retrospective study was conducted 94 patients with histologically confirmed cancer, they were randomly divided into training cohort (n = 65) validation 29). All underwent MR CT examination within 2 weeks before treatment. On each slice the tumor, we delineated volume interest T2-weighted imaging, diffusion weighted...
Summary The vast majority of available parameter estimation methods assume that the parameters to be estimated are constant or slowly time‐varying and mainly depend on a predictor observer design so large adaptive gain must used achieve fast adaptation; this may result in high‐frequency oscillations when system subjects source uncertainties disturbances. This paper is concerned with online for two kinds linearly parameterized nonlinear systems. By dividing time into small intervals,...
A modified Kik–Piotrowski (MKP) model is proposed in this paper for an accurate and robust calculation of wheel–rail normal contact problem. The presented method able to consider the relationship between elastic deformation a line pressure distribution within patch. novel shape correction put forward correctly describe Taking results estimated by Kalker's variational as references, validated three cases, including assumed standardised non-Hertzian two-point contact, well behaviours based on...
An improved vehicle-track coupled dynamics model that takes into account the differential ballast settlement is presented in this paper. Central to formulation an iterative method for acquiring mapping relationship between and deflection of rail sleepers. The proposed validated by comparing results obtained with those finite element (FEM) equilibrium state calculated track settlement. Using dynamic model, numerical analyses have been performed static sleepers response system. indicate upper...
Recurrence-plot (RP) analysis is a graphical tool to visualize and analyze the recurrence of nonlinear dynamic systems. By combining advantages RP convolutional neural network (CNN), fault-classification scheme for planetary gear sets proposed in this paper. In approach, vibration first picked up from planetary-gear test rig converted into an angular-domain quasistationary signal through computed order tracking eliminate frequency blur caused by speed fluctuations. Then, angular domain...
atural language dialogue systems raise great attention recently. As many models are data-driven, high-quality datasets essential to these systems. In this paper, we introduce Pchatbot, a large-scale dataset that contains two subsets collected from Weibo and Judicial forums respectively. To adapt the raw systems, elaborately normalize via processes such as anonymization, deduplication, segmentation, filtering. The scale of Pchatbot is significantly larger than existing Chinese datasets, which...