CH Mode Mixing Determines the Band Shape of the Carboxylate Symmetric Stretch in Apo-EDTA, Ca2+–EDTA, and Mg2+–EDTA

2021 ◽  
Author(s):  
Sunayana Mitra ◽  
Keith Werling ◽  
Eric J. Berquist ◽  
Daniel S. Lambrecht ◽  
Sean Garrett-Roe
Keyword(s):  
Band Shape ◽  
Mode Mixing

Method of calculating band shape for molecular electronic spectra

1998 ◽  
Vol 19 (7) ◽  
pp. 781-796 ◽  
Author(s):  
Greg M. Pearl ◽  
M. C. Zerner ◽  
Anders Broo ◽  
John McKelvey
Keyword(s):  
Electronic Spectra ◽  
Molecular Electronic ◽  
Band Shape

Ion association dynamics in aqueous solutions of sulfate salts as studied by Raman band shape analysis

2005 ◽  
Vol 123 (3) ◽  
pp. 034508 ◽  
Author(s):  
Daisuke Watanabe ◽  
Hiro-o Hamaguchi
Keyword(s):  
Aqueous Solutions ◽  
Shape Analysis ◽  
Raman Band ◽  
Ion Association ◽  
Band Shape ◽  
Sulfate Salts

Ensemble Empirical Mode Decomposition and Sparsity Measurement as Tools Enhancing the Gear Diagnostic Capabilities of Time Synchronous Averaging

2017 ◽  
Vol 09 (02) ◽  
pp. 1750004 ◽  
Author(s):  
Pawel Rzeszucinski ◽  
Michal Juraszek ◽  
James R. Ottewill
Keyword(s):  
Empirical Mode Decomposition ◽  
Ensemble Empirical Mode Decomposition ◽  
Diagnostic Information ◽  
Optimal Parameters ◽  
Vibration Data ◽  
Mode Decomposition ◽  
Ultrasound Signal ◽  
Diagnostic Capabilities ◽  
Mixing Problem ◽  
Mode Mixing

The paper introduces the concept of exploring the potential of Ensemble Empirical Mode Decomposition (EEMD) and Sparsity Measurement (SM) in enhancing the diagnostic information contained in the Time Synchronous Averaging (TSA) method used in the field of gearbox diagnostics. EEMD was created as a natural improvement of the Empirical Mode Decomposition which suffered from a so-called mode mixing problem. SM is heavily used in the field of ultrasound signal processing as a tool for assessing the degree of sparsity of a signal. A novel process of automatically finding the optimal parameters of EEMD is proposed by incorporating a Form Factor parameter, known from the field of electrical engineering. All these elements are combined and applied on a set of vibration data generated on a 2-stage gearbox under healthy and faulty conditions. The results suggest that combining these methods may increase the robustness of the condition monitoring routine, when compared to the standard TSA used alone.

Use of Multivariate Analysis to Determine Temperature from Low-Resolution Infrared Spectra of Carbon Dioxide

2000 ◽  
Vol 54 (2) ◽  
pp. 197-201 ◽  
Author(s):  
Michael P. Szczepanski ◽  
Augustus W. Fountain
Keyword(s):  
Carbon Dioxide ◽  
Chemical Species ◽  
Principal Component Regression ◽  
Principal Component ◽  
Industrial Applications ◽  
Low Resolution ◽  
Band Shape ◽  
Temperature Spectra ◽  
Plume Temperature ◽  
Industrial Monitoring

The remote optical monitoring of gaseous contaminants is important for both military and industrial applications. An important parameter for quantifying chemical species and for predicting plume dynamics is the temperature. While in some industrial monitoring situations it may be practical to independently measure the temperature of stack emissions, for compliance monitoring and military chemical reconnaissance a remote optical means of estimating gas plume temperature is required. It was noticed that the band shape of low-resolution spectra of carbon dioxide in equilibrium with an exhaust plume was very sensitive to temperature. Spectra of carbon dioxide were acquired under controlled laboratory conditions in 5° increments from 20 to 200 °C. Various multivariate models were used to predict the temperature. It was found that partial least-squares (PLS) was unable to effectively model the simultaneous changes in amplitude and bandwidth with temperature. However, principal component regression (PCR) was found to be well correlated with temperature and allowed cross-validated prediction within 4% error.

scholarly journals Corrigendum to: The room temperature emission band shape of the lowest energy chlorophyll spectral form of LHCI (FEBS 27430)

FEBS Letters ◽  
2003 ◽  
Vol 549 (1-3) ◽  
pp. 181-181 ◽  
Author(s):  
Robert C Jennings ◽  
Flavio M. Garlaschi ◽  
Tomas Morosinotto ◽  
Enrico Engelmann ◽  
Giuseppe Zucchelli
Keyword(s):  
Emission Band ◽  
Room Temperature ◽  
Spectral Form ◽  
Band Shape

Band Shape and Phonon Broadening ofUBands in Alkali Halides

1969 ◽  
Vol 182 (3) ◽  
pp. 953-960 ◽  
Author(s):  
S. S. Mitra ◽  
R. S. Singh ◽  
Y. Brada
Keyword(s):  
Alkali Halides ◽  
Band Shape

Vibrational band shape analysis of the C–H vibration of CH2I2molecules in liquid CCl4

1993 ◽  
Vol 99 (12) ◽  
pp. 9389-9393 ◽  
Author(s):  
G. Moser ◽  
A. Asenbaum ◽  
G. Döge
Keyword(s):  
Shape Analysis ◽  
Vibrational Band ◽  
Band Shape

Infrared Band-Shape Studies of Sulphate Glasses

1982 ◽  
Vol 37 (2) ◽  
pp. 191-195
Author(s):  
H. G. K. Sundar ◽  
R. Parthasarathy ◽  
K. J. Rao
Keyword(s):  
Glass Transition ◽  
Transition Temperature ◽  
Glass Transition Temperature ◽  
Shape Analysis ◽  
Cluster Model ◽  
Deformation Band ◽  
Infrared Band ◽  
Band Shape ◽  
Correlation Times ◽  
Second Moments

Abstract IR band-shape analysis has been carried out on the 620 cm-1 deformation band of the sulphate ion in several Na2SO4-K2SO4-ZnSO4 glasses. Variations of correlation times and second moments suggest that reorientational motions of sulphate ions begin to evolve prior to the glass-transition temperature. The correlation times may support a cluster model for the glass-transition.

Sign in / Sign up

Export Citation Format

Share Document