A5088167656- Non-Destructive Testing Techniques
- Plant Water Relations and Carbon Dynamics
- Geophysical Methods and Applications
- Rock Mechanics and Modeling
- Electrochemical sensors and biosensors
- High voltage insulation and dielectric phenomena
- Microbial Fuel Cells and Bioremediation
- Plant responses to water stress
- Mineral Processing and Grinding
- Tree Root and Stability Studies
- Machine Fault Diagnosis Techniques
- Geochemistry and Geologic Mapping
- Industrial Vision Systems and Defect Detection
- Enzyme Catalysis and Immobilization
- Plant Stress Responses and Tolerance
- Fault Detection and Control Systems
- Water Treatment and Disinfection
- Plant nutrient uptake and metabolism
- Electrical Fault Detection and Protection
- Employment and Welfare Studies
- Web Applications and Data Management
- Power Line Inspection Robots
- Power Transformer Diagnostics and Insulation
- Aerosol Filtration and Electrostatic Precipitation
- Reservoir Engineering and Simulation Methods
Zhengzhou University
2023-2024
Wuhu Hit Robot Technology Research Institute
2024
Huazhong University of Science and Technology
2022-2023
Shenyang Institute of Automation
2018-2021
Harbin Institute of Technology
2021
Chinese Academy of Sciences
2008-2021
University of Chinese Academy of Sciences
2018-2021
University of Science and Technology Beijing
2008-2020
Wuhan University of Technology
2020
Xinjiang Institute of Ecology and Geography
2008-2013
Abstract Back‐arc extension and asthenosphere upwelling associated with oceanic lithospheric subduction affect the structure thermal regime of arc lithosphere, which often triggers widespread extension‐related mafic magmatism. Although it is commonly accepted that Neo‐Tethyan lithosphere subducted beneath southern Lhasa block, resulting in well‐known Late Mesozoic Gangdese magmatic arc, possible role contemporary back‐arc has been disputed due to a lack evidence for Here, we report detailed...
The application of the acoustic emission (AE) and damage theory to evaluation coal rock stability requires a clear comprehension influence joints. mechanical AE response characteristics evolution samples with different joint angles were analysed through uniaxial compression tests. results show that angle between loading principal stress surface considerably influences degree characterised by AE. However, existing models characterisation do not fully reflect stresses angles. In this paper,...
Electromagnetic coils are one of the key components many systems. Their insulation failure can have severe effects on systems in which used. This paper focuses degradation monitoring and remaining useful life (RUL) prediction electromagnetic coils. First, characteristics extracted from coil high-frequency electrical parameters. Second, health indicator is defined based to indicate degree insulation. Finally, an model constructed, RUL performed by particle filtering. Thermal accelerated...
One of the biggest challenges for fault diagnosis research industrial robots is that normal data far more than data; is, imbalanced. The traditional approaches are biased toward majority categories, which makes accuracy minority categories decrease. To solve imbalanced problem, algorithm improved by using cost-sensitive learning, single-class learning and other approaches. However, these algorithms also have a series problems. For instance, it difficult to estimate true misclassification...
Data mining techniques, especially classification methods, are receiving increasing attention from researchers and practitioners in the domain of petroleum exploration production (E&P) China. To extensively investigate effects feature selection learning algorithms on hydrocarbon reservoir prediction performance, taking three real-world multiclass problems as examples, namely formation evaluation water-flooding interval, low resistivity reservoir, gas zone Chinese oil fields, this paper...
The degradation of key components production equipment can have adverse effects on manufacturing, such as unexpected machine shutdown and product quality decline. Implementation selfaware by prognostics health management-based cyber-physical systems is a promising technology that address this problem. This paper developed precursor-based method to create self-aware low-voltage electromagnetic coils for incipient insulation monitoring. Electromagnetic are fundamental energy conversion...
Electromagnetic coils are a key component in variety of systems and widely used many industries. Because their insulation usually fails suddenly can have catastrophic effects, degradation monitoring coil plays vital role avoiding unexpected machine shutdown. The existing methods based on assessing the change high-frequency electrical parameter response, whereas effects failure mechanisms not considered, which leads to inconsistency between experimental results. Therefore, this paper...
Background: The incidence of chronic diseases has increased dramatically due to rapid aging and lifestyle changes China in recent decades. population aged more than 45 years is an important participant the labor force market, health status directly affects their participation decision. This study aims explore relationship between among elderly Chinese years. Method: We employ a multivariate probit (MVP) model construct five structural equations for analysis. advantage this that it can deal...
As a critical component in rotating machinery field, rolling bearings are prone to damage under the working conditions of high speed, heavy load and strong impact, resulting reduction production efficiency or even outage. Therefore, fault diagnosis bearing plays significant role improving availability equipment. The recognition rate existing techniques wavelet packet energy feature is low. Thus, approach proposed address this issue paper. First, view non-stationary non-linear properties...
Abstract One-year-old seedlings of Tamarix ramosissima Ledeb. and Alhagi sparsifolia Shap., two dominant species in the southern rim Taklamakan Desert, were investigated. A root uprooting trench profile method used to study characteristics biomass distribution architecture. The results showed that differed. T. had more shoots, whereas A. roots. architecture differed, resembled a "herringbone" formation vertical profile, roots distributed form web, with dichotomous Keywords: Shap.biomass...
Electromagnetic coil is the key component of rotating equipment, and its reliability very important for normal operation equipment. In order to accurately evaluate health status electromagnetic coil, a evaluation anomaly detection method based on Mahalanobis distance (MD) Box-Cox transformations proposed. With help accelerated fatigue experiment, whole life electrical data high, medium low frequency spectrum collected, are constructed as initial feature set. And then, set mahalanized, taken...
In this paper, a novel microscopic machine vision system is proposed to solve degradation monitoring problem of low-voltage electromagnetic coil insulation in practical industrial fields, where an ensemble learning approach compound membrane computing framework newly introduced. This constituted by eight layers, 29 membranes, 72 objects, and 35 rules. framework, multiple methods, including classical pattern recognition methods deep are tested compared. First, the most optimal feature...
Electromagnetic coils are widely used in a variety of industries, and their insulation damage is one the main factors which results failure solenoid-operated valves motors. This paper provides novel method for degradation monitoring low-voltage coil based on microscopic image analysis. Degradation-sensitive color features from RGB, HSV HSL spaces identified to quantify appearance differences between healthy degraded magnet wires, new way health monitoring. Comparing existing high-frequency...
Acoustic emission (AE) is widely used in the monitoring of coal and rock stability early warning dynamic disasters mines. In this work, Brazilian split test was carried out on limestone samples along with collecting full waveform AE signal during entire loading process. The linear cepstrum coefficient (LCC) as characteristic parameter to analyze correlation between LCC load samples. results show that an effective parameter. first fourth parameters calculated using 1 s meet change...
Tetracycline antibiotics are widely used in veterinary medicine, human therapy and agriculture, their presence natural water raises environmental concerns. In this study, more than 94% of TCH could be rapidly degraded within 48 hours polarity-inverted microbial fuel cells. The electrochemically active bacteria had the best electrochemical performance at 1 mg/L with minimum internal resistance 77.38 Ω. electron-rich functional groups were continuously attacked finally degradated into small...