A5100444246- Machine Fault Diagnosis Techniques
- Perovskite Materials and Applications
- Electric Motor Design and Analysis
- Advanced DC-DC Converters
- Fault Detection and Control Systems
- Magnetic Properties and Applications
- Luminescence Properties of Advanced Materials
- Industrial Technology and Control Systems
- Magnetic Bearings and Levitation Dynamics
- Advanced Battery Technologies Research
- Microgrid Control and Optimization
- Multilevel Inverters and Converters
- Nonlinear Dynamics and Pattern Formation
- Chaos control and synchronization
- Gear and Bearing Dynamics Analysis
- Engineering Diagnostics and Reliability
- Muscle activation and electromyography studies
- Power System Optimization and Stability
- Simulation and Modeling Applications
- Sensorless Control of Electric Motors
- Smart Grid Energy Management
- Advanced Algorithms and Applications
- Industrial Vision Systems and Defect Detection
- Optical properties and cooling technologies in crystalline materials
- Energy Load and Power Forecasting
Xi'an Jiaotong University
2005-2024
Zhengzhou University
2023-2024
Lanzhou University of Technology
2024
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
Shanghai Electric (China)
2024
Nanchang University
2022-2023
China Academy of Engineering Physics
2014-2023
Tianjin Normal University
2023
China University of Petroleum, East China
2023
The development of distributed generation raises high requirement on accurate real-time state estimation with phasor measurement unit (PMU) for wide-area systems (WAMSs). Although the particle filter is among best in performance, its computation burden truly heavy toward smart sensors current generation. Besides, infrastructure PMU data communication confronted challenges amount boosted by sampling frequency PMUs and booming grid size. This paper proposes an event-trigger heterogeneous...
Accurate dynamic state estimation (DSE) plays an important role in power systems. Although various filtering methods, such as unscented Kalman filter (UKF) and particle (PF), have been applied for DSE based on phasor measurement units, they occupy a huge communication bandwidth without specific concern. In order to alleviate this burden, the event-triggered cubature (CKF) is proposed stochastic schedule brief. Based developed nonlinear schedule, CKF further provides more accurate than UKF...
This paper proposes an adaptive method based on sliding mode control for quadrotor helicopters. The flight system of helicopters is a typical nonlinear and uncertain system. Sliding (SMC) robust to systems, can keep the insensitive uncertainties surface. However, its design requires knowledge bound uncertainties, sometimes it could be hard task estimate accurately bound. goal law without perturbations methodology provides minimum value gain K(t) resulting in minimization chattering effect....
This paper proposes an intelligent diagnosis method for rotating machinery faults based on improved variational mode decomposition (IVMD) and CNN to process the non-stationary signal. Firstly, solve problem of time-domain feature extraction fault diagnosis, this with automatic optimization number modes. overcomes problems traditional VMD method, in that each parameter is set by experience greatly influenced subjective experience. Secondly, decomposed signal components are analyzed...
This paper focuses on energy management for a large population of Plug-in Electric Vehicles (PEVs) demand response applications. We consider both real time charging control as well planning optimizations. The main contribution the lies in development novel dynamic capacity model which variation range aggregated loads available at each step is function past decisions. Such enables systematic yet simple design strategies that minimize costs while respecting shifting load aggregation. A further...
In this paper, the DC-link voltage ripple is analyzed for an inverter without electrolytic capacitor. As capacitance density of non-electrolytic capacitors are significantly lower than capacitors, a capacitor based three-phase inverter, much higher traditional which will cause more THD on load current and originates stability problems when cascaded with front-end converter. To avoid these disadvantages, must be fully inverter. This paper presents analysis source under modulation methods SPWM...
Dictionary learning (DL) is an effective feature technique, and has led to interesting results in many classification tasks. Recently, by combining DL with multiple kernel (which a crucial technique for different representation information), few multi-kernel methods have been presented solve the representations based problem. However, how improve capability discriminability of dictionary not well studied. In this paper, we propose novel approach, named low-rank pair (MKLDPL). Specifically,...
DC-DC converters are being widely used in electrified transportation systems. It has been proven that chaos this family of can lead to instability. This digest presents a mathematical study bifurcation and PWM- controlled buck converters. The derivation discrete time models for the period -1, -2, -4 -8 orbits demonstrated. A practical circuit constructed tested, experimental results verified validity theoretical analysis.
Electricity consumption forecast is very important for both suppliers and large consumers. However, the electricity of a enterprise quite different with regional consumption, has not been studied sufficiently, especially an energy intensive corporation. In this paper, we investigate daily steel By our observation, inversely proportional to maintenance duration directly production quantity. Therefore, schedules are considered as input data model. The nonnegative least squares (NNLS) method...
This paper examines the modes of operation and potential subharmonic chaotic behaviors exhibited in switched reluctance motor (SRM) drive which employs modified PI controller with time-delay feedback. An 8/6 pole, 2.32 kW SRM is used as model for this study. The analytical modelling SR system, simulation analysis phase current, electromagnetic torque, speed are presented. bifurcation diagrams under parametric variations function also demonstrated. Based on these results, effect feedback...
Switched-mode power converters are being widely used in conversion systems. Due to the presence of highly nonlinear dynamics, a rich group bifurcation and chaotic behaviors have been found this family converters. In most cases, these abnormal system can potentially cause instability issue for converter operation. This paper presents mathematical experimental study period-doubling peak current-controlled boost converter. reveals evolution subharmonic orbits within under variation supply...