Intelligent proximate analysis of coal based on near infrared spectroscopy and multi-output deep learning
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
are achieved. Accurate classification methods for post-consumer textile waste are needed in …