Skip to search formSkip to main contentSkip to account menu
  • Publications
  • Influence
Estimation for Runway Friction Coefficient Based on Multi-Sensor Information Fusion and Model Correlation
TLDR
The sensor system proposed in this paper can be regarded as a mobile weather–runway–tire system, which can estimate the friction coefficient by integrating the runway surface conditions and the tire conditions, and fully consider their common effects.
View PDF
Discrete wavelet transformation and genetic algorithm – back propagation neural network applied in monitoring woodworking tool wear conditions in the milling operation spindle power signals
TLDR
The proposed monitoring method can accurately monitor tool wear conditions with different milling parameters, which can achieve the purpose of improving the processing quality of wood plastic composite furniture and reducing energy consumption.
View via Publisher
Tunable diode laser spectrometry signal denoising using discrete wavelet transform for molecular spectroscopy study
Wavelet-based digital signal processing technique was applied successfully to tunable diode laser absorption spectroscopy (TDLAS) in the infrared spectral range. By applying the wavelet-based digital…
[Feature abstraction and spectral reconstruction of three-dimensional fluorescence spectra of oil in water].
  • Guangjun Tian
  • Chemistry
    Guang pu xue yu guang pu fen xi = Guang pu
  • 1 April 2008
TLDR
It is shown that the singular-value features of fluorescence excitation-emission matrix (EEM) represent spectral gathering energy, and the length-limited pan-gene chain has the ability to reconstruct three-dimensional fluorescence spectra.
View on PubMed
Reflectance Spectroscopy Model for Pollutant Estimation in Lubricant
Principal Component Analysis combined with Correlation Coefficient is presented to choose dominant wavelengths of lubricants reflectance spectrum in the wide band of 220 nm ~ 780 nm, and the index…
View via Publisher
Combination of SVD and Wavelet Transform for Oil Discrimination on 3-D Fluorescence Spectra
Singular Value Decomposition used in spectrum feature extraction, often discards small component that may be important for identifying mineral oil products. This work presents a new method using the…
View on Scientific.net
Parameterization of three-dimensional fluorescence spectra based on singular values and oils clustering analysis
Depending on oil components, three-dimensional (3-D) fluorescence spectra of oils can be seen as their "fingerprints". Various kinds of oils can be classified by clustering their feature vectors.…
View on SPIE
Application of wavelet transform and principal component analysis in mineral oil's 3D fluorescence spectra compression
TLDR
It is meaningful and profitable that pre-filtering irrelevant information by WT has ensured the PCA works better with correct and reliable result.
View on IEEE
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License