Automatic recognition of effective and interference signals based on machine learning: A case study of acoustic emission and electromagnetic radiation

B Li, E Wang, Z Li, X Cao, X Liu, M Zhang - International Journal of Rock …, 2023 - Elsevier
Integrated monitoring technology using acoustic emission (AE) and electromagnetic
radiation (EMR) is a promising mean for monitoring coal and rock dynamic disasters …

Properties of particulate matter and gaseous pollutants in Shandong, China: Daily fluctuation, influencing factors, and spatiotemporal distribution

Y Yao, C He, S Li, W Ma, S Li, Q Yu, N Mi, J Yu… - Science of the Total …, 2019 - Elsevier
Characteristics of the spatial and temporal distribution of air pollutants may reveal the cause
of air pollution, especially for large regions where the anthropogenic pollutant emission is …

Fault diagnosis of analog circuits based on IH-PSO optimized support vector machine

X Yuan, Z Liu, Z Miao, Z Zhao, F Zhou, Y Song - IEEE Access, 2019 - ieeexplore.ieee.org
Because of its excellent small sample learning abilities and simple network structure,
support vector machine (SVM) is widely applied in various pattern recognition fields, eg, face …

[HTML][HTML] Discriminative feature analysis based on the crossing level for leakage classification in water pipelines

LTN Tu, JM Kim - The Journal of the Acoustical Society of America, 2019 - pubs.aip.org
Selection algorithm based on Kullback–Leibler distance is one of the simplest, fastest, and
most effective methods suitable for feature selection of real applications like leak detection …

Parameter calculation in time analysis for the approach of filtering to select IMFs of EMD in AE sensors for leakage signature

NSM Jaafar, IA Aziz, MHB Hasan… - … Intelligence Methods in …, 2019 - Springer
The pipelines are used for transporting fluids and it is an important part of the media
transportation for oil and gas. However, as pipelines are often spread across vast distances …

The Influence of H2SO4-NaCl Electrolyte Composition to the Electrochemical Noise Behaviour of a High-Alloy Cast Steel

M Mandel, V Kietov, M Wendler… - Defect and Diffusion …, 2020 - Trans Tech Publ
In this study, the influence of varying sulphuric acid–sodium chloride electrolyte composition
to the electrochemical noise behaviour of a high-alloy cast steel was analysed. The noise …