Intelligent proximate analysis of coal based on near infrared spectroscopy and multi-output deep learning

L Zou, J Qiao, X Yu, X Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Proximate analysis of coal indicates the moisture, ash, volatile content, and calorific value,
which has been widely utilized as the basis for coal characterization. It involves heating the …

Quantitative Detection of Multicomponent SF6 Decomposition Products Based on Fourier Transform Infrared Spectroscopy Combined With CARS-ELM Algorithm

J Gao, Y Zhang, X Li, G Shi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The decomposition of SF6 as an insulating medium in gas-insulated switchgear (GIS) in the
event of partial discharges (PDs) leads to insulation failure inside the equipment. Therefore …

A novel integrated approach to characterization of petroleum naphtha properties from near-infrared spectroscopy

H Yu, W Du, ZQ Lang, K Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a study about the rapid characterization of petroleum naphtha
properties based on near-infrared (NIR) spectroscopy. The major challenge of this problem …

Extracting frequency spectroscopy of oil-immersed paper based on Havriliak–Negami model without known insulation structure of transformer

Q Xu, S Wang, F Lin, H Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
When using the frequency domain spectroscopy (FDS) method to evaluate the insulation
condition of a transformer, it is essential to calculate the frequency spectroscopy of the oil …

[HTML][HTML] Inversion of Crop Water Content Using Multispectral Data and Machine Learning Algorithms in the North China Plain

Z Zhang, G Dou, X Zhao, Y Gao, S Liu, A Qin - Agronomy, 2024 - mdpi.com
(1) Background: Accurate inversion of crop water content is key to making an intelligent
irrigation decision. However, little effort has been devoted to accurately estimating the crop …

Sparse reconstruction using block sparse Bayesian learning with fast marginalized likelihood maximization for near-infrared spectroscopy

T Pan, C Wu, Q Chen - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
The absorption peak contains a great amount of important chemical information that is
critical for the qualitative/quantitative analysis of organic compounds in high-dimensional …

Pattern-coupled baseline correction method for near-infrared spectroscopy multivariate modeling

Y Li, X Wang, H Yu, W Du - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In near-infrared (NIR) modeling, the baseline drift tends to affect the qualitative and
quantitative performance of the multivariate calibration model. The baseline correction …

Portable Instruments Based on NIR Sensors and Multivariate Statistical Methods for a Semiautomatic Quality Control of Textiles

JR Riba, R Puig, R Cantero - Machines, 2023 - mdpi.com
Near-infrared (NIR) spectroscopy is a widely used technique for determining the
composition of textile fibers. This paper analyzes the possibility of using low-cost portable …

A non-contact solid particle moisture sensor based on near-infrared spectroscopy technology

D Chen, Q Du, X Lu, W Ma - Measurement, 2025 - Elsevier
The detection of moisture content in solid particles has important applications in fields such
as biological research, coal mine production, and medicine. This article develops a non …

Classification of textile samples using data fusion combining near-and mid-infrared spectral information

JR Riba, R Cantero, R Puig - Polymers, 2022 - mdpi.com
There is an urgent need to reuse and recycle textile fibers, since today, low recycling rates
are achieved. Accurate classification methods for post-consumer textile waste are needed in …