A5100424378- Advanced Sensor and Control Systems
- Real-time simulation and control systems
- HVDC Systems and Fault Protection
- High-Voltage Power Transmission Systems
- Advanced Algorithms and Applications
- Advanced Statistical Methods and Models
- Numerical methods in engineering
- Adaptive Control of Nonlinear Systems
- Power Systems Fault Detection
- Power System Reliability and Maintenance
- Industrial Technology and Control Systems
- Simulation and Modeling Applications
- Statistical Methods and Inference
- Lightning and Electromagnetic Phenomena
- Advanced Operator Algebra Research
- Reliability and Maintenance Optimization
- Algebraic structures and combinatorial models
- Power Systems and Renewable Energy
- Guidance and Control Systems
- Advanced Numerical Methods in Computational Mathematics
- Aerodynamics and Fluid Dynamics Research
- Computational Fluid Dynamics and Aerodynamics
- Electrical Fault Detection and Protection
- Vehicle Dynamics and Control Systems
- Vibration and Dynamic Analysis
Nanjing Xiaozhuang University
2010-2025
Huzhou Vocational and Technical College
2024
Shanghai Electric (China)
2014-2024
Nanjing Traditional Chinese Medicine Hospital
2023
Institute of Applied Technology
2023
China Southern Power Grid (China)
2020-2022
Center for High Pressure Science & Technology Advanced Research
2020
Nanjing University of Aeronautics and Astronautics
2015-2019
Shandong University
2012-2019
Jiangsu University
2019
In order to reach a compromise between fast response control and torques matching in double turboshaft engines, research on nonlinear model predictive for engines based is conducted. Meanwhile, Nonlinear Model Predictive Control (NMPC) method proposed, which combines the index of power turbine speed with creatively. addition index, difference output each engine also incorporated objective function as penalty term ensure constant short time. Simulation results demonstrate that relative...
The traditional load-shedding models usually use global optimization to get the region, which will cause multiple variables, huge computing scale and other problems. This makes it hard meet requirements of timeliness in on-line power system operation risk assessment. In order solve problems present models, a model based on sensitivity analysis is proposed this manuscript. By calculating each branch bus, collection buses have remarkable influence reducing flow over-load branches obtained....
This paper proposes the time-delayed cubic velocity feedback control strategy to improve isolation performance of High-Static-Low-Dynamic-Stiffness (HSLDS) vibration isolator. Firstly, primary resonance controlled HSLDS isolator is obtained by using multiple scales method. The equivalent damping ratio and frequency are defined study effects gain time delay on resonance. jump phenomenon analysis system without with investigated Sylvester resultant method optimization method, respectively....
Traditional nonlinear elements of the electromagnetic transient simulation program (EMTP) use numerical integration method, often employing trapezoidal method as an implicit algorithm. However, when number is high, iterative format becomes computationally cumbersome. The semi-implicit algorithms, based on Rosenbrock real-time do not require iterations and can be applied directly in a recursive manner. increases, it necessary to invert matrix that contains Jacobian matrix, resulting increase...
In order to study the effect of suction chamber baffles on hydraulic performance and unsteady characteristics in a low specific speed centrifugal pump, model pump was design with enlarging flow mothed four schemes baffle, including no baffle (scheme 0), only one 1), two 2) three 3), were considered. Commercial code FLUENT applied simulate pump. RNG <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>k</mml:mi></mml:math> -...
Data mining is a process that uses machine learning to extract valuable knowledge from large number of data. The sportsman has long period exhaustion human body motor function. changes physical function signals in each are not obvious, there lack dynamic association between the data, which makes connection data close. Traditional methods based on rules technology [1], excavates most relevant attributes Once athletes' appear more obvious faults, correlation weakened, will cause deep...
In this work the dynamic thermoelastic response of a slab with finite thickness subjected to aerodynamic heating is investigated. The system generalized governing equations initial and boundary conditions solved by method integral transformation, analytic expressions transient temperature dynamical stresses in are obtained. transformation shows its advantage convenience deal complex problem. Moreover, introducing taking into account typical Mach number curve for hypersonic flight, analytical...
In the context of Condition Based Maintenance (CBM), this paper presents a risk-based optimization model for system maintenance scheduling problem. It consists on optimizing availability and cost by balancing between risk failure risk. paper, reliability constraint is considered. Reliability components characterized their rate functions. Possible actions are performed to improve system. Genetic algorithm used obtain sequence providing desired level with minimum Numeral results demonstrate...
Abstract The substation is an important part of the smart grid. stable operation electrical equipment in related to stability According statistical results, among common failures, thermal failures have a larger proportion. Thermal faults can be monitored through surface temperature equipment, and predicting changing trend advance great significance for reducing substations. For this reason, paper proposes method based on BP neural network-simulated annealing algorithm, using parameters,...
The conventional definition of a depth function is vector-based. In this paper, novel projection (PD) technique directly based on tensors, such as matrices, instead proposed. Tensor (TPD) still an ideal and its computation can be achieved through the iteration PD. Furthermore, we also discuss cases for sparse samples higher order tensors. Experimental results in data classification with two depths show that TPD performs much better than PD natural tensor form, even when have vector appears...
The detection of pesticide residues in white tea fresh leaves is an important step to ensure the quality safety finished products. Traditional methods are costly and inefficient realize demand for fast, low-cost, accurate leaves. In this study, five types leaf residue sample data were obtained using hyperspectral imaging technology high-frequency detected pesticides Glyphosate Bifenthrin, SVM 1D-CNN models established detect samples after noise reduction processing feature band screening...
Numerical oscillation is a common phenomenon in the current electromagnetic transient digital simulation power systems. From origin of numerical oscillation, we proposed an extended critical damping adjustment method (ECDA) to solve problem this paper, after inspired by (CDA). ECDA was composed class new low-order, L-stable linear multistep and implicit trapezoidal integration methods. used two-half-step, three-step or four-steps perform integrations when experienced with sudden changes,...