Correction model for CO detection in the coal combustion loss process in mines based on GWO-SVM

Deng, Jun; Chen, Weile; Liang, Ce; Wang, Weifeng; Wang, Caiping; Shu, Chi‐Min

doi:10.1016/j.jlp.2021.104439

Cited by 31 publications

(7 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Major species concentrations and emission yields were continuously tracked and measured using a Ttech-16172 Gas Analyzer. The concentration and production of carbon monoxide (CO) [ 29 , 30 ] are low and difficult to observe and therefore ignored. Figure 10 shows the evolution of gas emissions during external flux testing in the range of 25 to 50 kW m −2 .…”

Section: Resultsmentioning

confidence: 99%

Effect of the Current on the Fire Characteristics of Overloaded Polyvinyl Chloride Copper Wires

Li¹,

Qin

Li³

et al. 2022

Polymers

View full text Add to dashboard Cite

In this study, the fire behavior variation of unenergized polyvinyl chloride (PVC) copper wires subjected to overload with different currents was investigated by a cone calorimeter. Overload currents were selected from 1 times safe-rated current (Ie) to 3.5 times Ie to obtain tested sample wires. The mass fraction, time to ignition (TTI), heat release rate (HRR), gas emission, and residue were measured. If the current flowing through the wire increased up to 3.5 times Ie, the TTI of this unenergized wire increased drastically and the peak HRR (pHRR) decreased notably so that the flame growing index (FGI) reduced considerably. When the wire carried less than three times Ie, the FGI remained stable. For all overloaded PVC copper wires, the increase in the heat flux resulted in a higher pHRR and a lower burning duration. However, regardless of the external heat flux exposure, the FGI of copper wires overloaded at 3.5 times Ie was lower than that of copper wires carrying less than other times Ie. Moreover, the consumption of O2 and generation of CO2 as the heat flux varied were consistent with that of the HRR. Opposed to expectation, the flame propagation of unenergized PVC copper wires would decline in a fire, if the wire has been damaged by overload with some currents.

show abstract

Section: Resultsmentioning

confidence: 99%

Effect of the Current on the Fire Characteristics of Overloaded Polyvinyl Chloride Copper Wires

Li¹,

Qin

Li³

et al. 2022

Polymers

View full text Add to dashboard Cite

show abstract

“…The classification hyperplane established by SVM can guarantee the classification accuracy ( Wang et al, 2021a ). For the optimization problem of the parameters of the SVM (parameter c and g ), this paper used the particles swarm optimization (PSO) algorithm ( Huang et al, 2021 ) and the grey wolf optimizer (GWO) algorithm ( Deng et al, 2021 ). PSO is an optimization algorithm for group intelligence.…”

Section: Methodsmentioning

confidence: 99%

Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine

et al. 2022

View full text Add to dashboard Cite

Different soybean varieties vary greatly in their nutritional value and composition. Screening for superior varieties is also essential for the development of the soybean seed industry. The objective of the paper was to analyze the feasibility of terahertz (THz) frequency-domain spectroscopy and chemometrics for soybean variety identification. Meanwhile, a grey wolf optimizer-support vector machine (GWO-SVM) soybean variety identification model was proposed. Firstly, the THz frequency-domain spectra of experimental samples (6 varieties, 270 in total) were collected. Principal component analysis (PCA) was used to analyze the THz spectra. After that, 203 samples from the calibration set were used to establish a soybean variety identification model. Finally, 67 samples from the test set were used for prediction validation. The experimental results demonstrated that THz frequency-domain spectroscopy combined with GWO-SVM could quickly and accurately identify soybean varieties. Compared with discriminant partial least squares (DPLS) and particles swarm optimization support vector machine, GWO-SVM combined with the second derivative could establish a better soybean variety identification model. The overall correct identification rate of its prediction set was 97.01%.

show abstract

“…Software compensation methods are powerful, flexible, and easily applied to various sensors. In view of these advantages, scholars proposed lots of software compensating methods, such as least square method (LSM), support vector machine (SVM) [8,9], and all kinds of artificial neutral networks (ANN) [10][11][12]. LSM is convenient and intuitive, so researchers commonly apply it to solve linear and low rank non-linear fitting problems.…”

Section: Introductionmentioning

confidence: 99%

A Temperature Compensation Method for aSix-Axis Force/Torque Sensor Utilizing Ensemble hWOA-LSSVM Based on Improved Trimmed Bagging

Gao

Cao

et al. 2022

Sensors

View full text Add to dashboard Cite

The performance of a six-axis force/torque sensor (F/T sensor) severely decreased when working in an extreme environment due to its sensitivity to ambient temperature. This paper puts forward an ensemble temperature compensation method based on the whale optimization algorithm (WOA) tuning the least-square support vector machine (LSSVM) and trimmed bagging. To be specific, the stimulated annealing algorithm (SA) was hybridized to the WOA to solve the local entrapment problem, and an adaptive trimming strategy is proposed to obtain the optimal trim portion for the trimmed bagging. In addition, inverse quote error (invQE) and cross-validation are employed to estimate the fitness better in training process. The maximum absolute measurement error caused by temperature decreased from 3.34% to 3.9×10−3% of full scale after being compensated by the proposed method. The analyses of experiments illustrate the ensemble hWOA-LSSVM based on improved trimmed bagging improves the precision and stability of F/T sensors and possesses the strengths of local search ability and better adaptability.

show abstract

Correction model for CO detection in the coal combustion loss process in mines based on GWO-SVM

Cited by 31 publications

References 41 publications

Effect of the Current on the Fire Characteristics of Overloaded Polyvinyl Chloride Copper Wires

Effect of the Current on the Fire Characteristics of Overloaded Polyvinyl Chloride Copper Wires

Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine

A Temperature Compensation Method for aSix-Axis Force/Torque Sensor Utilizing Ensemble hWOA-LSSVM Based on Improved Trimmed Bagging

Contact Info

Product

Resources

About