A5101842296- Structural Integrity and Reliability Analysis
- Risk and Safety Analysis
- Non-Destructive Testing Techniques
- Offshore Engineering and Technologies
- Geotechnical Engineering and Underground Structures
- Welding Techniques and Residual Stresses
- Material Properties and Failure Mechanisms
- Hydrogen embrittlement and corrosion behaviors in metals
- Corrosion Behavior and Inhibition
- Industrial Vision Systems and Defect Detection
- Occupational Health and Safety Research
- Fatigue and fracture mechanics
- Ultrasonics and Acoustic Wave Propagation
- Geophysical Methods and Applications
- Engineering Diagnostics and Reliability
- Water Systems and Optimization
- Oil and Gas Production Techniques
- Composite Structure Analysis and Optimization
- Advanced Neural Network Applications
- Erosion and Abrasive Machining
- Renewable energy and sustainable power systems
- Hydraulic Fracturing and Reservoir Analysis
- Fault Detection and Control Systems
- Advanced Image Processing Techniques
- Anomaly Detection Techniques and Applications
China University of Petroleum, Beijing
2017-2025
Weifang Medical University
2025
Chinese Academy of Sciences
2024
China Science and Technology Publishing & Media
2024
Institute of Geochemistry
2024
Ministry of Transport
2023
Detection Limit (United States)
2020
Gezhouba Explosive (China)
2019
Beijing Institute of Petrochemical Technology
2011
University of Science and Technology Beijing
2011
Crude oil pipelines are considered as the lifelines of energy industry. However, accidents can lead to severe public health and environmental concerns, in which greenhouse gas (GHG) emissions, primarily methane, frequently overlooked. While previous studies examined fugitive emissions normal operation crude pipelines, resulting from were typically managed separately therefore not included emission account systems. To bridge this knowledge gap, we employed a bottom-up approach conducted...
Objective Adolescents undergoing orthodontic treatment often face psychological challenges, and delays in may exacerbate these issues. This study explores the prevalence of depressive symptoms among Chinese adolescents receiving care examines potential link between symptoms. Methods A cross-sectional was conducted adolescent patients Chengde, Hebei Province. Data on demographic factors, delays, were collected through structured questionnaires. The Beck Depression Inventory for Youth (BDI-Y)...
Tapered beams constitute functionally graded materials that are widely used in various engineering fields. The vibrational characteristics of tapered made axially varying investigated via variational iteration method. Natural frequencies and corresponding mode shapes examined, calculated compared with results provided by previous researchers using other approximate methods. efficiency accuracy this technique demonstrated. effect nonhomogeneous material distribution, taper ratio as well...
The multi-mode total focusing method (MTFM) enables a region of interest within specimen to be imaged using different combinations beam paths and wave-mode. For crack, the diffraction response tip may evident in certain modes specular reflection others. Accurate characterisation defects requires combining information from multiple modes. MTFM images, not all have high signal-to-noise ratio (SNR). In this work, phase coherence imaging (MPCI) was proposed by (PCI) method. better data fusion is...
Objective: This study aims to construct a machine learning model predict depression symptoms in the elderly and analyze key influencing factors of using shapley additive interpretation (SHAP) method. Methods: Based on entries from 2018 China Health Retirement Longitudinal Study database, sample 5 954 individuals was selected. Feature selection Support Vector Machine Recursive Elimination, Extreme Gradient Boosting (XGBoost) - Elimination (RFE), Lasso algorithm, which combined with five...
There is a growing trend toward AI systems interacting with humans to revolutionize range of application domains such as healthcare and transportation. However, unsafe human-machine interaction can lead catastrophic failures. We propose novel approach that predicts future states by accounting for the uncertainty human interaction, monitors whether predictions satisfy or violate safety requirements, adapts control actions based on predictive monitoring results. Specifically, we develop new...
Digital image of pipeline weld is an important basis for the reliability management welds. However, error rate artificial discrimination high. In order to increase defect identification accuracy digital weld, we adopted several methods (e.g. multiple edge detection, detection channel and threshold segmentation) carry out processing on defects Then, a characteristic database images welds was constructed, including grayscale difference, equivalent area (S/C), circularity, entropy, correlation...
The ball valve is an essential piece of equipment in oil and gas pipeline. sand particles transported through the pipeline can cause erosion wear to valve, thus causing it fail, leading serious safety hazards. In this paper, self-designed experiment method was combined with computational fluid dynamics (CFD), while Euler-Lagrange also introduced optimize Oka model Ford particle-wall rebound model. mechanism characteristics sealing surface gas-solid two-phase flow were simulated, condition...