Online Fe grade monitoring of iron ore slurry by Morse wavelet transform and lightweight convolutional neural network based on LIBS
出版年份 2023 全文链接
标题
Online Fe grade monitoring of iron ore slurry by Morse wavelet transform and lightweight convolutional neural network based on LIBS
作者
关键词
-
出版物
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
Volume -, Issue -, Pages 106821
出版商
Elsevier BV
发表日期
2023-11-03
DOI
10.1016/j.sab.2023.106821
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Compensation for the variation of total number density to improve signal repeatability for laser-induced breakdown spectroscopy
- (2022) Weilun Gu et al. ANALYTICA CHIMICA ACTA
- Development in the application of laser-induced breakdown spectroscopy in recent years: A review
- (2021) Lian-Bo Guo et al. Frontiers of Physics
- Laser-Induced Breakdown Spectroscopy – A geochemical tool for the 21st century
- (2021) Russell S. Harmon et al. APPLIED GEOCHEMISTRY
- Development of Crime Scene Intelligence Using a Hand-Held Raman Spectrometer and Transfer Learning
- (2021) Ting-Yu Huang et al. ANALYTICAL CHEMISTRY
- Deep learning with laser-induced breakdown spectroscopy (LIBS) for the classification of rocks based on elemental imaging
- (2021) Tong Chen et al. APPLIED GEOCHEMISTRY
- Efficient weakly supervised LIBS feature selection method in quantitative analysis of iron ore slurry
- (2021) Tong Chen et al. APPLIED OPTICS
- Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization
- (2019) Sheng Guo et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification
- (2018) Jun Pan et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Multi-wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis
- (2018) Minghang Zhao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Improvement of spectral intensity and resolution with fiber laser for on-stream slurry analysis in laser-induced breakdown spectroscopy
- (2018) Lian-Bo Guo et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Real-Time Composition Monitoring Using Support Vector Regression of Laser-Induced Plasma for Laser Additive Manufacturing
- (2017) Lijun Song et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- On-stream mineral identification of tailing slurries of an iron ore concentrator using data fusion of LIBS, reflectance spectroscopy and XRF measurement techniques
- (2017) Navid Khajehzadeh et al. MINERALS ENGINEERING
- On-stream and quantitative mineral identification of tailing slurries using LIBS technique
- (2016) Navid Khajehzadeh et al. MINERALS ENGINEERING
- A method for improving wavelet threshold denoising in laser-induced breakdown spectroscopy
- (2015) Bo Zhang et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Wavelet denoising method for laser-induced breakdown spectroscopy
- (2013) Bo Zhang et al. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
- Generalized Morse Wavelets as a Superfamily of Analytic Wavelets
- (2012) J. M. Lilly et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Quantitative analysis of slurry sample by laser-induced breakdown spectroscopy
- (2011) Krishna K. Ayyalasomayajula et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- Laser-Induced Breakdown Spectroscopy—Capabilities and Limitations
- (2009) David A. Cremers et al. APPLIED SPECTROSCOPY REVIEWS
- An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy
- (2009) Zhi-Min Zhang et al. JOURNAL OF RAMAN SPECTROSCOPY
- Automatic estimation of varying continuum background emission in laser-induced breakdown spectroscopy
- (2009) Lanxiang Sun et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Higher-Order Properties of Analytic Wavelets
- (2008) J.M. Lilly et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started