Traveling waves in the acidic nitrate-iron(II) reaction: analytical description of the wave velocity

1991 ◽  
Vol 95 (11) ◽  
pp. 4379-4381 ◽  
Author(s):  
Gyorgy Pota ◽  
Istvan Lengyel ◽  
Gyorgy Bazsa
2014 ◽  
Vol 1003 ◽  
pp. 124-129
Author(s):  
Jian Xu Lu ◽  
Cheng Jia Ma

Among the available fault location methods based on traveling waves, calibrations of wave velocity and wave arrival time are the two main problems. This paper proposes a new fault location method which combines the two problems mentioned above. In this method, the first wave and second wave obtained at one side and the first wave obtained at the other side is used to locate the fault point. And the Hilbert-Huang transform is used in the calibration of wave arrival time, making the method more accurate than using wavelet transform. This method has the following two advantages: At first, it dismisses the influence of wave velocity. In the second, it doesn’t need to distinguish the sources of the received waves. ATP-EMTP’s simulation results show that this method is available and the location precision is higher than traditional fault location methods.


Author(s):  
J. M. Paque ◽  
R. Browning ◽  
P. L. King ◽  
P. Pianetta

Geological samples typically contain many minerals (phases) with multiple element compositions. A complete analytical description should give the number of phases present, the volume occupied by each phase in the bulk sample, the average and range of composition of each phase, and the bulk composition of the sample. A practical approach to providing such a complete description is from quantitative analysis of multi-elemental x-ray images.With the advances in recent years in the speed and storage capabilities of laboratory computers, large quantities of data can be efficiently manipulated. Commercial software and hardware presently available allow simultaneous collection of multiple x-ray images from a sample (up to 16 for the Kevex Delta system). Thus, high resolution x-ray images of the majority of the detectable elements in a sample can be collected. The use of statistical techniques, including principal component analysis (PCA), can provide insight into mineral phase composition and the distribution of minerals within a sample.


2007 ◽  
Vol 211 (S 2) ◽  
Author(s):  
B Schiessl ◽  
M Burgmann ◽  
V Sauer ◽  
A Neubauer ◽  
F Kainer ◽  
...  

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