Non-parallel bounded support matrix machine and its application in roller bearing fault diagnosis
At present, the excellent performance of support vector machine (SVM) has made it
successfully applied in many fields. However, when SVM is used for two-dimensional matrix …
successfully applied in many fields. However, when SVM is used for two-dimensional matrix …
Infection risk assessment of COVID-19 through aerosol transmission: a case study of South China seafood market
The Corona Virus Disease 2019 (COVID-19) is rapidly spreading throughout the world.
Aerosol is a potential transmission route. We conducted the quantitative microbial risk …
Aerosol is a potential transmission route. We conducted the quantitative microbial risk …
Deep learning-based source term estimation of hydrogen leakages from a hydrogen fueled gas turbine
Hydrogen fueled gas turbine is an efficient and environmentally friendly energy conversion
equipment. However, it is prone to gas leakages from corrosion-prone components and pipe …
equipment. However, it is prone to gas leakages from corrosion-prone components and pipe …
Source term estimation in the unsteady flow with dynamic mode decomposition
When estimating source parameters in the unsteady flow, the flow information of pollution
dispersion is indispensable. It is common practice to save the flow information in the …
dispersion is indispensable. It is common practice to save the flow information in the …
Intelligent fault identification in sample imbalance scenarios using robust low-rank matrix classifier with fuzzy weighting factor
Low-rank matrix learning techniques, especially support matrix machine (SMM) approach,
have significantly altered mechanical fault diagnosis by efficiently uncovering correlations …
have significantly altered mechanical fault diagnosis by efficiently uncovering correlations …
Influence of aviation emission on the particle number concentration near Zurich Airport
In addition to the much-publicized environmental impact of CO2 emission by air traffic,
aviation particulate emission also deserves attention. The abundant ultrafine particles in the …
aviation particulate emission also deserves attention. The abundant ultrafine particles in the …
Detector configuration optimization method considering response time for spatial source parameter estimation in complex urban wind environment
In source parameter estimation, improper arrangement of detectors may lead to ineffective
concentration measurement or even failure in leakage detection, which would hold back …
concentration measurement or even failure in leakage detection, which would hold back …
Natural gas leakage estimation in underground utility tunnels using Bayesian inference based on flow fields with gas jet disturbance
In damp environment of underground utility tunnels, natural gas pipelines may corrode,
resulting in leakage from small holes. Considering the flammable and explosive properties …
resulting in leakage from small holes. Considering the flammable and explosive properties …
Gas diffusion model based on an improved Gaussian plume model for inverse calculations of the source strength
C Liu, R Zhou, T Su, J Jiang - Journal of Loss Prevention in the Process …, 2022 - Elsevier
The rapid and accurate prediction of the release source and concentration of pollutants
remains a crucial issue in emergency rescue. A suitable gas diffusion model, an appropriate …
remains a crucial issue in emergency rescue. A suitable gas diffusion model, an appropriate …
[HTML][HTML] Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety
Modern society is confronted with emerging threats from chemical, biological, and
radiological (CBR) hazardous substances, which are intensively utilized in the chemical …
radiological (CBR) hazardous substances, which are intensively utilized in the chemical …