A5100694373- Structural Health Monitoring Techniques
- Quality Function Deployment in Product Design
- Mechanical stress and fatigue analysis
- Risk and Safety Analysis
- Fatigue and fracture mechanics
- Occupational Health and Safety Research
- Structural Load-Bearing Analysis
- Wind Energy Research and Development
- Ergonomics and Human Factors
- Data Mining Algorithms and Applications
- Multi-Criteria Decision Making
- Fault Detection and Control Systems
- Data Management and Algorithms
- Cloud Computing and Resource Management
- Rough Sets and Fuzzy Logic
- Software System Performance and Reliability
- Probabilistic and Robust Engineering Design
- Distributed and Parallel Computing Systems
- Fire effects on concrete materials
- Technology Assessment and Management
- Model Reduction and Neural Networks
- Service-Oriented Architecture and Web Services
- Advanced Computational Techniques and Applications
- Machine Fault Diagnosis Techniques
- Human-Automation Interaction and Safety
Guangzhou University
2011-2024
Wuhan Polytechnic University
2024
Harbin Engineering University
2006-2024
Guangxi University
2024
Qingdao University of Science and Technology
2023
Chang'an University
2023
Jinan University
2014-2022
Universität Hamburg
2022
China University of Mining and Technology
2022
University of California, Davis
2016-2021
The full-scale static testing of wind turbine blades is an effective means to verify the accuracy and rationality blade design, it indispensable part in certification process. In experiments, strain related applied loads, loading positions, stiffness, deflection, other factors. At present, researches focus on analysis failure causes, load-bearing capacity, parameter measurement methods addition correlation between loads primarily. However, they neglect positions displacements. among...
This paper proposes a strain prediction method for wind turbine blades using genetic algorithm back propagation neural networks (GA-BPNNs) with applied loads, loading positions, and displacement as inputs, the study can be used to provide more data blades’ health assessment life prediction. Among all parameters tested in full-scale static testing of blades, is very important. The correlation between blade position, displacement, etc., non-linear, number input variables too much, thus...
Abstract Wind turbine blades made by composite materials (CWTBs), encounter fatigue failures, such as cracks, fractures, delamination, etc. Finite Element Analysis (FEA) is applied for performance simulations of CWTBs the full‐scale testing costly. To consider correlated failures and uncertainties in load material parameters, this paper proposes a reliability assessment method based on continuous time Bayesian network FEA. Specifically, dangerous regions each component are determined finite...
Microalgae are a promising sustainable food source with high nutritional value and environmental benefits. This study investigated the presence of toxic metals rare earth elements (REEs) in 68 microalgal-based products conducted probabilistic risk assessment to evaluate potential health risks. The findings revealed detection rates REEs (80.96% 100%) heavy (83.82% 100%), REE concentrations ranging from 0.0055 0.5207 mg/kg. Heavy were detected at following average concentrations: As (2.80...
With the proliferation of mobile networks, we face strong diversification services, demanding network to be more flexible. To satisfy this dire need, slicing is embraced as a promising solution for resource utilization in 5G and future networks. However, process complicated that traditional approaches cannot effectively perform orchestration due lack accurate models existence dynamic hidden structures. We formulate allocation problem Constrained Markov Decision Process solve it using...
Predicting trust among the agents is of great importance to various open distributed settings (e.g., emarket, peer-to-peer networks, etc.) in that dishonest can easily join system and achieve their goals by circumventing agreed rules, or gaining unfair advantages, etc. Most existing mechanisms derive statistically investigating target agent's historical information. However, even if rich information available, it challenging model an behavior since intelligent agent may strategically change...
Purpose Drawing on the literature CEO succession research and impression management, present study examines how selection of successors affects their motivation to initiate postsuccession strategic change. Based perspective reference-dependence in prospect theory, also explores impact boards' reference-point setting intensity successors' inclination change corporate strategy after assuming office. Design/methodology/approach Two-stage Heckman model a spline function analysis are used analyze...
In the process of machining, operator’s incorrect operation using control human-computer interaction interface may lead to a disastrous effect on whole production chain such as task failure and system failure. The eight types errors about (misperception, memory lapse, carelessness, improper decision-making, operation, layout design, icon text display prompt feedback) are proposed based cognition from users. According error, human reliability safety evaluation method is proposed. Considering...
This study proposes a modified extended cognitive reliability and error analysis method (CREAM) for achieving more accurate human probability (HEP) in advanced control rooms. The traditional approach lacks failure data does not consider the common performance condition (CPC) weights different functions. CREAM decomposes tasks using that combines structured information (SIA) CREAM. performs weight of CPCs functions, include cognitive, correlative, important weights. We used to obtain weight....
In the entire wind turbine system, blade acts as central load-bearing element, with its stability and reliability being essential for safe effective operation of power unit. Carbon fiber, known high strength-to-weight ratio, modulus, lightweight characteristics, is extensively utilized in manufacturing due to superior attributes. Despite these advantages, carbon fiber composites are frequently subjected cyclic loading, which often results fatigue issues. The presence internal defects further...
The accuracy and integrity of structural deformation monitoring can be improved by the GNSS/accelerometer integrated system, gross error detection is key to further improving reliability monitoring. Traditional methods assume that real-state information known, they need establish state iterators, which leads low computational efficiency. Meanwhile, in multi-sensor fusion, if sampling rates are different, change dimension observation matrix must considered, calculation complex. Based on...
The mechanical reliability problem of passenger car cockpit facilities layout is increasingly complex and has potential uncertain risks for human safety while the number private cars increasing. A new system design optimization proposed to solve this problem. First, sequences are determined using a hybrid method multiple-attribute decision-making entropy. Second, degree feeling crowded in can be adjusted based on customers’ preference. Third, an adapted particle swarm algorithm...