A5005387894- Probabilistic and Robust Engineering Design
- Combustion and flame dynamics
- Fluid Dynamics and Turbulent Flows
- Machine Fault Diagnosis Techniques
- Wind and Air Flow Studies
- Advanced Combustion Engine Technologies
- Hydraulic and Pneumatic Systems
- Risk and Safety Analysis
- Reliability and Maintenance Optimization
- Process Optimization and Integration
- Advanced Sensor and Control Systems
- Refrigeration and Air Conditioning Technologies
- Stochastic processes and financial applications
- 3D Modeling in Geospatial Applications
- Structural Health Monitoring Techniques
- Software System Performance and Reliability
- Asphalt Pavement Performance Evaluation
- Capital Investment and Risk Analysis
- Environmental Impact and Sustainability
- Statistical Distribution Estimation and Applications
- Computational Geometry and Mesh Generation
- Gas Dynamics and Kinetic Theory
- Remote Sensing and LiDAR Applications
- Engineering Diagnostics and Reliability
- Fatigue and fracture mechanics
University of Electronic Science and Technology of China
2015-2023
China Railway Group (China)
2019
Chengdu University
2017
Northwestern Polytechnical University
2013
Cornell University
2010-2011
Hunan Agricultural University
2010
Abstract A safety instrumented system (SIS) is extensively used to prevent or reduce risk. The Probability of Failure perform its intended functions on Demand (PFD) a practical SIS may vary within multiple integrity levels (SIL) due uncertainties relevant input parameters. An will be considered unsafe when PFD greater than prescribed value, and unsafety probability (UP) employed measure the degree investigated in this work. Redundancy architecture commonly improve reliability an SIS. This...
Airborne Light Detection And Ranging (LiDAR) point cloud is an important data source for building 3D digital cities and can be used to acquire update urban buildings, roads etc. However, it difficult extract complete accurate boundaries from airborne LiDAR clouds due partial occlusion, which mainly caused by adjacent tall trees, particularly in spring summer. In this paper, we propose improved minimum bounding rectangle (IMBR) algorithm regularized with without occlusion aerial clouds. The...
Techno-economic assessments (TEA) of biodiesel production may comply with various economic and technical uncertainties during the lifespan project, resulting in variation many parameters associated production, including price biodiesel, feedstock price, rate interest. Engineers only collect very limited information on these uncertain such as their intervals lower upper bound. This paper proposes a novel non-probabilistic strategy for uncertainty analysis (UA) TEA interval parameters,...
Various parameters including biodiesel price, capital cost, interest rate and feedstock may exhibit variation in the techno-economic assessments of production within project's lifetime due to economic technical uncertainties.
Based on the mathematical transformation from fuzzy probability to random probability, an efficient numerical approach is proposed estimate failure probability. The basic idea that calculation of can be transformed into estimating several truncated probabilities, which computed by using classical reliability methods. By a normalized transformation, standard form, approximately solved Gauss–Legendre quadrature formula. this simple process, expressed weighted average probabilities. To decrease...
Various uncertain factors exist in the practical systems. Random variables, uncertain-but-bounded variables and fuzzy are commonly employed to measure these factors. usually define with sufficient samples accurately estimate probability density functions (PDFs). Uncertain-but-bounded limited that cannot PDFs but can precisely decide variation ranges of Fuzzy be epistemic uncertainty relevant human knowledge expert experience. This paper focuses on systems subjected measured by variables. The...
The number of fault samples for the new nuclear valve is commonly rare; thus, machine learning algorithm not suitable prediction this kind equipment. In order to overcome difficulty, paper proposes a novel method critical point gate based on characteristic analysis operation process variables. switch often contains various characteristics and information, first adopts Shannon entropy describe power spectrum vibration signal relevant switch, then employs mean value as an indirect variable...
Safety instrumented system (SIS) is widely applied to reduce or prevent risk in industry. Practical SIS commonly meets with epistemic uncertainty arising from incompleteness of knowledge on various input parameters due lack data. Epistemic can be reduced by collecting more lead variation probability failure perform its intended functions demand (PFD) for an SIS. This paper employs the complementary cumulative distribution function PFD define exceedance (EP) that exceeds a prescribed value....
The eddy damped quasinormal Markovian theory has been applied to the mixing of three scalars undergoing an isothermal, bimolecular chemical reaction form: A+B→C, with a rate constant that is independent scalar concentrations. model extension work by Vaithianathan, Ulitsky, and Collins [Proc. Combust. Inst. 29, 2139 (2002)] allow for unequal initial molar concentrations reactant species differences in molecular diffusivities scalars, thereby enabling effect differential diffusion be studied....
Abstract In this paper, a surrogate‐based iterative importance sampling (IS) method is proposed to efficiently evaluate failure probability (FP) of engineering structures. The surrogate constructed by the training points centered at most probable point (MPP), which estimated an approximate algorithm without any additional evaluations real limit state function (LSF), and IS using MPP further obtained; procedure combined with finally improve accuracy result for FP. Three numerical examples are...
In view of the lack management technology and maintenance record-keeping for valve testing, based on two main aspects feature extraction fault prediction, consider actual situation fully exploit objective demand system from situation, design a data analysis testing MySQL database, provide good platform information record, prediction nuclear power valves. The will foundation test recording, valves, support reference equipment operation maintenance. Tkinter toolkit is very simple efficient GUI...
Valves are extensively applied in the nuclear power field. They commonly serve under high temperature, radiation, corrosion and other harsh environments for a long time, once failure occurs, it will lead to serious accidents, thus is of great significance prediction valve faults. The typical fault data relevant valves usually limited, i.e., small sample. In addition, multi-domain features including time domain frequency employed predict faults, which redundant may reduce accuracy. A sample...
In the paper by Xia et al. [Flow, Turbul. Combust. 85, 689 (2010)], we derived a stochastic shell mixing model (SSMM) for turbulent of multiple scalars with arbitrary diffusivities. The framework uses Monte Carlo scheme to advance notional particles that move fluid and has scalar concentrations are subdivided into “shells” loosely represent spectral decomposition fluctuations. variance within each is equivalent spectrum evaluated at corresponding wavenumber. Small-scale phenomena such as...