A5100696141- Infrastructure Maintenance and Monitoring
- Machine Fault Diagnosis Techniques
- Asphalt Pavement Performance Evaluation
- Advanced Sensor and Control Systems
- Structural Health Monitoring Techniques
- Structural Behavior of Reinforced Concrete
- Geotechnical Engineering and Soil Stabilization
- Advanced Control Systems Optimization
- Structural Load-Bearing Analysis
- Advanced Algorithms and Applications
- Gear and Bearing Dynamics Analysis
- Wireless Sensor Networks and IoT
- Geotechnical Engineering and Underground Structures
- Mineral Processing and Grinding
- Geotechnical Engineering and Analysis
- Advanced machining processes and optimization
- Smart Materials for Construction
- Data Management and Algorithms
- Grouting, Rheology, and Soil Mechanics
- Concrete Corrosion and Durability
- Industrial Technology and Control Systems
- Granular flow and fluidized beds
- Process Optimization and Integration
- Indoor and Outdoor Localization Technologies
- Neural Networks Stability and Synchronization
University of Manchester
2020-2024
Hebei University of Technology
2015-2024
Northwestern Polytechnical University
2024
Northeast Normal University
2024
Beijing Institute of Technology
2020-2024
Guangzhou University
2024
Wenzhou University
2023
Wenzhou University of Technology
2023
Wuxi Taihu Hospital
2023
University of Jinan
2023
Wind turbine blade bearings are often operated in harsh circumstances, which may easily be damaged causing the to lose control and further result reduction of energy production. However, for condition monitoring fault diagnosis (CMFD) wind bearings, one main difficulties is that rotation speeds very slow (less than 5 r/min). Over past few years, acoustic emission (AE) analysis has been used carry out bearing CMFD. This article presents results reflect potential AE diagnosing a slow-speed...
Abstract There are three major dendritic cell (DC) subsets in both humans and mice, that is, plasmacytoid DCs two types of conventional (cDCs), cDC1s cDC2s. cDC2s important for polarizing CD4+ naive T cells into different subsets, including Th1, Th2, Th17, Th22, regulatory cells. In can be further divided phenotypically functionally distinct subgroups. However, human have not been reported. the present study, we showed blood CD1c+ cDCs (cDC2s) separated subpopulations according to their CD5...
The complex working conditions and nonlinear characteristics of the motor drive control system industrial robots make it difficult to detect faults. In this paper, a deep learning-based observer, which combines convolutional neural network (CNN) long short-term memory (LSTM), is employed approximate driving system. CNN layers are introduced extract dynamic features data, whereas LSTM perform time-sequential prediction target terms application, normal samples fed into observer build an...
Blade bearings are joint components of variable-pitch wind turbines, which have high failure rates. This article diagnoses a naturally damaged turbine blade bearing, was in operation on farm for over 15 years; therefore, its vibration signals more line with field situations. The focus is placed the conditions fluctuating slow speeds and heavy loads, because bear large loads from blades their rotation sensitively affected by or flipping. To extract weak fault masked noise, novel signal...
This article uses acoustic emission (AE) analysis to diagnose an industrial-scale and slow-speed wind turbine blade bearing. The main challenge for AE is that the fault signals are mingled with heavy noise. As a result, objective of this filter raw extract weak signals. To achieve goal, general linear nonlinear auto-regressive (GLNAR) model first developed exploit characteristics Then, sparse augmented Lagrangian (SAL) algorithm applied learn built GLNAR SAL it novel representation technique...
Abstract This paper proposes a novel on-line rotor system condition monitoring approach using nonlinear data-driven modelling and model frequency analysis. First, the dynamic process of vibration transmission path between measurement points two fulcrum structures is established by utilizing modelling. Then, unique properties are extracted from to reveal, in real time, health system. Finally, as features, unsupervised learning technology applied Compared conventional methods, proposed can...
The development of multimodal systems with fused sensing-and-memory (sen–memory) functionalities is drawing growing attention for artificial intelligence applications. However, conventional typically record the information based on a coinput sensory signal and electrical signal. Self-powered sen–memory system has potential to promote highly efficient neuromorphic applications remains be studied. Herein, we demonstrate fabrication pectin nanowire-based moisture generator film-based...
To harvest wind energy from nature, turbines are increasingly installed globally, and the blades most essential components within turbine system. The usually suffer time-varying nonstationary loads, load information is normally unknown or difficult to collect. This poses significant challenges blade assessment damage detection. Transmissibility function (TF) methods have potential address this challenge as they do not require loading information. In article, a novel wavelet package TF...
With the rapid development of offshore wind energy, seismic stability foundation structures is a concern, especially if soil sandy that susceptible to liquefaction. One commonly used for bucket foundation. A group centrifuge tests were performed study behavior Acceleration, pore water pressure, settlement, and lateral displacement recorded analyze response both upper structure The influences design parameters such as size foundation, depth penetration in ground, compartments within...
Wind turbines (WTs) are extensively installed nowadays and the blades integral components within WT systems. Condition monitoring fault diagnosis (CMFD) for is challenging due to fact that they usually suffer from non-stationary time-varying loads load information often unknown or hard collect. This paper proposes system identification-based transmissibility function (TF) methods effectively detect blade defects further help prevent potential economic loss. The novelty proposed only use...
Remaining useful life (RUL) of cutting tools is concerned with tool operational status prediction and damage prognosis. Most RUL methods utilized different features collected from sensors to predict the tool. To increase accuracy, it often necessary mount a great deal on machine in order collect more types signals, which can heavily cost industrial applications. this issue, study, for first time, proposed new feature network dictionary, enlarge number candidate under limited sensor...
In this paper, the battery inconsistency equalisation strategy is investigated and a novel fusion model based on equivalent circuit models proposed. The three models, 1RC, 2RC PNGV, are weighted fused by BP neuron network, which realizes complementary advantages of models. Even though estimated values all lower than true value, they can still be close to value after reasonable weight allocation. With reference open-source DST dynamic operating test data from Advanced Battery Association...