A5050426471- Advanced Control Systems Optimization
- Adaptive Dynamic Programming Control
- Reinforcement Learning in Robotics
- Advanced Measurement and Detection Methods
- Optical Coherence Tomography Applications
- Structural Health Monitoring Techniques
- Optical measurement and interference techniques
- Topic Modeling
- Industrial Vision Systems and Defect Detection
- Hydraulic and Pneumatic Systems
- Process Optimization and Integration
- Advanced Fiber Optic Sensors
- Distributed Control Multi-Agent Systems
- Iterative Learning Control Systems
- Photoacoustic and Ultrasonic Imaging
- Mobile Crowdsensing and Crowdsourcing
- Advanced Algorithms and Applications
- Optical and Acousto-Optic Technologies
- Non-Destructive Testing Techniques
- Adaptive Control of Nonlinear Systems
- Fuel Cells and Related Materials
- Sleep and Work-Related Fatigue
- Fault Detection and Control Systems
- Ultrasonics and Acoustic Wave Propagation
- Expert finding and Q&A systems
Fujian University of Traditional Chinese Medicine
2025
Northwestern Polytechnical University
2024
Fuzhou University
2020-2024
Ministry of Industry and Information Technology
2024
Beijing Advanced Sciences and Innovation Center
2020
Shanghai Jiao Tong University
2017-2019
The vibration signal from the rotatory machinery condition monitoring under time-varying speed is usually amplitude-modulated (AM) and frequency-modulated (FM). It important to efficiently accurately estimate instantaneous frequency (IF) of signal. In this paper, a novel parameterized IF estimation method proposed. employs high-order polynomial function approximate nonlinear subsequently constructs overdetermined systems linear equations by calculating Fourier transform derivative can be...
This paper presents a feed-forward and feedback control scheme for boiler-turbine coordination system of 1000MW ultra-supercritical thermal power generating unit. Due to the multi-variable nonlinear characteristics plant with strong couplings between main steam pressure loop loop, is much more challenging fulfill multiple tasks in practice. In terms research range this paper, model 2 inputs outputs used further optimize performance system. Control unit load response maintenance were taken...
Abstract The radial vibration signals of the rotor can provide abundant information about health condition machine. In this paper, a simple vision-based measurement system is proposed to simultaneously measure two-dimensional displacements in directions for rotating shaft, where consists constant density fringe pattern (CDFP), line scan camera (LSC), and lens. CDFP should be installed around surface shaft make along axis, while axis vertical optical LSC but not parallel line-array sensor...
<title>Abstract</title> In the field of psychology and cognition within closed cabins, noncontact vital sign detection holds significant potential as it can enhance user experience by utilizing objective measurements to assess emotions, making process more sustainable easier deploy. To evaluate capability methods for emotion recognition in spaces, such submarines, this study proposes an method that employs a millimeter-wave radar capture respiration signals uses machine-learning framework...
In the field of psychology and cognition within closed cabins, noncontact vital sign detection holds significant potential as it can enhance user’s experience by utilizing objective measurements to assess emotions, making process more sustainable easier deploy. To evaluate capability methods for emotion recognition in spaces, such submarines, this study proposes an method that employs a millimeter-wave radar capture respiration signals uses machine-learning framework classification....
Q&A communities are playing an important role in online knowledge sharing, where a large number of users with various background make tremendous contributions to solving many technical problems based on crowd intelligence. However, as new questions increasingly posted, it is non-trivial issue find matching answerer for each question. As result, fail receive satisfying answers time. This paper addresses the problem by predicting best Many existing efforts devoted mainly calculating textual...
The intermediate point enthalpy is a significant indicator for the steam temperature in thermal power unit, which has great impact on safety and economy unit. control becomes more difficult supercritical unit than subcritical because of controlled plant's characteristics non-linearity, large inertia coupling between different input. In this paper, reinforcement learning method using proximal policy optimization algorithm proposed to operate feed water following scheme coordinated system...
In this paper, dynamics of a sliding mode controller (SMC) designed for the discrete uncertain system is studied. The proposed SMC derived based on non-smooth reaching law without disturbance observer. Dynamics analysis focuses behaviors both outside and within quasi-sliding domain (QSMD). Numerical results are provided to demonstrate performance control scheme.
In this paper, a novel framework applying the reinforcement learning algorithms to thermal power generation control is proposed instead of traditional PID controllers. order implement time series response by neural network, we discrete model and embed it into environment. By defining an episode as adjustment process steady state setpoint, agent can learn whole embedding only accepting scalar error signals. The experiments have proven that proximal policy optimization shows same robustness...