A5102005557- Fault Detection and Control Systems
- Food Drying and Modeling
- Microencapsulation and Drying Processes
- Mineral Processing and Grinding
- Spectroscopy and Chemometric Analyses
- Iron and Steelmaking Processes
- Microbial Inactivation Methods
- Reliability and Maintenance Optimization
- Mechanical Engineering and Vibrations Research
- Fractional Differential Equations Solutions
- Machine Learning and ELM
- Advanced Control Systems Optimization
- Electric and Hybrid Vehicle Technologies
- Viral Infections and Immunology Research
- Nonlinear Differential Equations Analysis
- Statistical Distribution Estimation and Applications
- Freezing and Crystallization Processes
- Fluid Dynamics and Mixing
- Industrial Technology and Control Systems
- Adaptive Dynamic Programming Control
- Advanced Statistical Process Monitoring
- Radiative Heat Transfer Studies
- Textile materials and evaluations
- Minerals Flotation and Separation Techniques
- Granular flow and fluidized beds
Tiangong University
2024
China Electronics Standardization Institute
2019-2024
Beijing Building Construction Research Institute (China)
2023
Shandong University
2021
University of Science and Technology Beijing
2014-2020
Guangzhou College of Commerce
2019-2020
Southwest Petroleum University
2020
Guangdong Academy of Agricultural Sciences
2017
Beijing Institute of Technology
2016
The understanding of the mutual migration behavior and water diffusion mechanism different components inside wheat granules is crucial for drying process selection parameter determination. In this study, binding forms in characteristics during processes were studied on basis low-field nuclear magnetic resonance imaging. early stage, internal rate was larger than external evaporation rate. mainly dominated by middle changed from to less gradually became main control factor During process,...
The characteristics of transverse relaxation time (T2) water in wheat were studied by measuring the low-field nuclear magnetic resonance. Analysis exponential distribution T2 revealed that contains five components. and significantly changed during drying. dynamic components drying determined using signal quantity their characteristic peaks, which showed different features. Weakly chemically bound (T22) ascribed to cell wall (T23) main source loss. Moreover, most T23 extracellular (T24)...
Abstract This paper presents an experimental investigation on the effect of freeze–thaw cycling expansive soil slopes with different initial moisture contents. Clay from Weifang, China, was remolded and selected to build slope for indoor model tests. A total five cycles were applied three contents ranging 20 40%. Variations crack developments, displacements, pressures during reported discussed. The results indicate that higher can slow development cracks pressure increases decreasing...
Since the first report of porcine kobuvirus (PKV) in 2008, it has been confirmed that PKV is widely present several countries and plays an important role diarrhoea outbreak pigs. Studies have shown biggest difference among PKVs presence or absence a specific 30-amino acid (aa) sequence 2B region polyprotein gene. Based on this unique feature, most sequences could be divided into two groups (Group 1 without deletion Group 2 with deletion), but few did not follow rule due to possible...
The characteristics of moisture diffusion during wheat drying were determined through low-field nuclear magnetic resonance. feasibility variable temperature was validated by identifying the variation in evaporable water (EW) and each component wheat. During drying, chemically bound converted into EW, which comprised physically free components that can evaporate gasify directly. EW removed from diffusion. analysis average rate reduction weakly (T22) at different stages showed rapidly set 80...
Safe and stable production is a common concern in industrial processes, determining the manufacturing cost, product quality, energy consumption, pollutant discharge, etc. Timely detection of abnormal conditions prompt counter-measures are vital for maintaining safe operation processes. However, prevalent non-stationarity non-Gaussianity process data present significant challenges to effective monitoring. This paper introduces novel approach, Gaussian mixture model-based Wasserstein...
As a key technology for industry 4.0, data-driven soft sensing plays an important role in the control and optimization of industrial processes. However, due to large-scale, nonlinear dynamic characteristics data, it is difficult process data. To solve these difficulties, sensor modeling method based on sequence model gradient boosting tree algorithm developed. In this method, unsupervised trained Seq2Seq used extract features at first. Then high-precision LightGBM constructed with original...
For fixed bed grain drying techniques, the biggest problem is lack of uniformity. Deep-bed can be achieved in after solving uniformity, thereby reflecting compact structure, simple operation and low running cost deep-bed equipment. A new method that features swing temperature alternating airflow (STAA), coupled heating tempering processes time space, vibration induced circulation was investigated. The optimal 0.67 times corresponding positive flow plus counter time. key to parameters make...
Previously, we identified three porcine circovirus type 2 (PCV2) strains in buffalo meat samples from southern China. In this study, confirmed the reappearance of those buffalo-origin-like PCV2 swine herds region, which supported possible cross-species infection between buffalos and pigs under field conditions.
Remaining useful life (RUL) prediction is critical for health management of industrial equipment. It has been widely noted that degradation modeling a core step RUL where the Brownian motion (BM)-based models attract much attention. However, existing BM-based still have some impractical assumptions, increments BM are independent and stationary. To extend application models, bifractional (biFBM)-based model developed in this article. The biFBM process with dependent nonstationary increments,...
An improved online error minimized- extreme learning machine (IOEM-ELM) adaptive control method is proposed by introducing the adding and pruning mechanism of hidden nodes to realize a kind MIMO system with multiple operating modes. The strategy handle multiple-operating-modes problem analyzed idea model control. Further, considering that ground-granulated blast-furnace slag (GGBS) production process complex characteristics modes, high nonlinearity, strong coupling, uncertainty, data-driven...
It is important to predict the remaining useful life (RUL) for evaluating performance of industrial equipment. Many simple and complex methods have been proposed RUL based on stochastic processes. However, these different prediction accuracies. The uncertainty associated with using one instead another called statistical model uncertainty. Therefore, some problems naturally arise: How can we reduce among methods? Is it possible obtain a more exact RUL, compared individual method? In this...
Swing temperature and alternating airflow fixed-bed (STAA-FB) drying significantly improved uniformity capacity. The effects of tempering flow on the thermal efficiency (E) wheat at different bed heights stages were studied through experiments. Then parameters (including temperature, time speed) E analyzed. total end under was compared. Compared with control experiment, increased by 3.77%, 7.25%, 1.04% respectively prolonging time, increasing speed in a short each stage. decreased 12.09%...
Remaining useful life (RUL) is a key procedure of prognostics health management (PHM), which central to guarantee the safety equipment. In general, some maintenance activities will be implemented during operation an industrial Thus, describe degradation actual equipment, effect these must considered. However, current literature still falls short in modeling and RUL prediction for equipment with maintenance. this paper, we proposed Brownian motion-based model periodic negative jump, process...