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Time parameters

Fig.6 Example of trend vs time parameter representation the view is Epical of a paper recorder, with time in Y coordinate decreasing from the top to the bottom. The eight top buttons represent the different choice of plant parameters... Fig.6 Example of trend vs time parameter representation the view is Epical of a paper recorder, with time in Y coordinate decreasing from the top to the bottom. The eight top buttons represent the different choice of plant parameters...
Fourier transform is widely used for signal analysis purposes and is satisfactory when applied to signals where stationary features are of particular interest. However, it turns out to be very poor when dealing with defect detection, where it is the non stationary characteristics of the signal which has to be highlighted. The main reason is that in the Fourier analysis, the time parameter is discarded. [Pg.360]

When investigating time parameters it was shown, that a storage time in Xe of spectral purity was 10 mcs, while a restoring time was 10 ms with subsequent decrease in the case of addition of small amounts of air (less than 1%). As basic processes influencing time parameters, both dissociative recombination and three-particle adhesion of electrons to oxygen molecules have been considered. [Pg.539]

For quadnipolar nuclei, the dependence of the pulse response on Vq/v has led to the development of quadnipolar nutation, which is a two-dimensional (2D) NMR experiment. The principle of 2D experiments is that a series of FIDs are acquired as a fimction of a second time parameter (e.g. here the pulse lengdi applied). A double Fourier transfomiation can then be carried out to give a 2D data set (FI, F2). For quadnipolar nuclei while the pulse is on the experiment is effectively being carried out at low field with the spin states detemiined by the quadnipolar interaction. In the limits Vq v the pulse response lies at v and... [Pg.1478]

Let us recall the dependence of solutions to dynamical and quasi-static problems on the time parameter t. Then Hooke s law (1.3) takes the form... [Pg.3]

Equation (8-42) can be used in the FF calculation, assuming one knows the physical properties Cl and H. Of course, it is probable that the model will contain errors (e.g., unmeasured heat losses, incorrect Cl or H). Therefore, K can be designated as an adjustable parameter that can be timed. The use of aphysical model for FF control is desirable since it provides a physical basis for the control law and gives an a priori estimate of what the timing parameters are. Note that such a model could be nonlinear [e.g., in Eq. (8-42), F and T t. re multiplied]. [Pg.731]

This is obvious for the simplest case of nondeformable anisotropic particles. Even if such particles do not change the form, i.e. they are rigid, a new in principle effect in comparison to spherical particles, is their turn upon the flow of dispersion. For suspensions of anisodiametrical particles we can introduce a new characteristic time parameter Dr-1, equal to an inverse value of the coefficient of rotational diffusion and, correspondingly, a dimensionless parameter C = yDr 1. The value of Dr is expressed via the ratio of semiaxes of ellipsoid to the viscosity of a dispersion medium. [Pg.89]

In these circumstances the relaxation follows first-order kinetics, and a rate constant k = k a = k] + 4k i [P]e characterizes the system. A plot of k versus [P]t provides k] and k from the intercept and slope. The time parameter value called the relaxation time is given by r = l/k. [Pg.54]

Fig. 2. The pulse sequence for the CP/MAS experiment. The values of the different time parameters depend on the relaxation behaviours and on the mobilities of the nuclei in the compounds investigated. (Reproduced with permission of Ref. I0))... Fig. 2. The pulse sequence for the CP/MAS experiment. The values of the different time parameters depend on the relaxation behaviours and on the mobilities of the nuclei in the compounds investigated. (Reproduced with permission of Ref. I0))...
The structure of the specimen database is dictated by the fact that the specimen carousel in the chromatograph holds up to 16 samples. The set of analytical parameters associated with each specimen position includes the number of replicate injections, the volume of specimen for each injection, the flow rate of the eluting solvent, the duration of the chromatogram, the detector gain, and various timing parameters. A phantom zeroth specimen position is used to define the analytical parameters for injections not specifically programmed into the microprocessor. The operator must manually enter these parameters into the chromatograph s internal microprocessor in order to analyze the specimens in the carousel. [Pg.134]

Although the concept of mean residence time is easily visualized in terms of the average time necessary to cover the distance between reactor inlet and outlet, it is not the most fundamental characteristic time parameter for purposes of reactor design. A more useful concept is that of the reactor space time. For continuous flow reactors the space time (t) is defined as the ratio of the reactor volume (VR) to a characteristic volumetric flow rate of fluid (Y). [Pg.255]

Section 4 is entitled Ideas (for mechanisms and models). It deals with how we can interpret/calculate the behavior of molecular transport junctions utilizing particular model approaches and chemical mechanisms. It also discusses time parameters, and coherence/decoherence as well as pathways and structure/function relationships. [Pg.3]

Many other time parameters actually enter - if the molecule is conducting through a polaron type mechanism (that is, if the gap has become small enough that polarization changes in geometry actually occur as the electron is transmitted), then one worries about the time associated with polaron formation and polaron transport. Other times that could enter would include frequencies of excitation, if photo processes are being thought of, and various times associated with polaron theory. This is a poorly developed part of the area of molecular transport, but one that is conceptually important. [Pg.16]

Freedman, D. X., and Aghajanian, G. K. (1959) Time parameters in acute tolerance, cross tolerance, and antagonism to psychotogens. Fed. Proc, 18 390 (Abstr.). [Pg.119]

Residence Time Parameter (unit) Short (Newly Deposited) Medium (Disturbed from Time to Time) Long (Consolidated)... [Pg.62]

Real-time parameters Alarm management Polarisation curves Data Analysis Intelligent System Output... [Pg.121]

When the sorbent is initially free from solute, Equation 37 can be solved analytically (73) to give the ratio of the mass sorbed at time t to the mass sorbed at equlibrium (i.e., the fractional approach to equilibrium). The mathematical solution depends on the mass fraction ultimately sorbed from the aqueous phase (F), and is most conveniently presented in terms of t, a dimensionless time parameter given by... [Pg.209]

Horizontal comparison answers the question what time is required to reach a certain ordinate value. This approach stresses the rate aspect of the process, i.e., its property of being faster or slower. Typical parameters are max or time parameters tf for a given fraction (percentile). [Pg.261]

If a mean value Cs/ CSoo is taken for Cs/ CSoo in the definition of x, equation 18.41 is a time parameter similar in form to equation 18.34. [Pg.1071]

Therefore the solutions found for the kinetics-controlling-condition may be used with the new time parameter for the case of film-diffusion control. [Pg.1071]

For a mean value of C/C0 outside the bracket, or several mean values for different concentration ranges, equation 18.44 has the same form as equation 18.36 with a new time parameter given by ... [Pg.1071]

The equation is not in dimensionless form. Each term has the dimension of reciprocal time. In order to make the equation completely dimensionless, it is necessary to introduce a time parameter. Equation (7.42) contains two such time parameters ... [Pg.393]

From the dimensionless time parameter (t) used in the solution, the diffusion coefficient (D) can be obtained from... [Pg.302]

All of the pertinent variables are now differential functions of the time parameter. These are stiff equations, however, that can be solved using an appropriate stiff differential equation solver. [Pg.732]


See other pages where Time parameters is mentioned: [Pg.362]    [Pg.540]    [Pg.1204]    [Pg.224]    [Pg.370]    [Pg.705]    [Pg.380]    [Pg.380]    [Pg.46]    [Pg.441]    [Pg.511]    [Pg.52]    [Pg.328]    [Pg.795]    [Pg.796]    [Pg.122]    [Pg.89]    [Pg.111]    [Pg.233]    [Pg.165]    [Pg.371]    [Pg.1020]    [Pg.1051]    [Pg.1052]    [Pg.1052]    [Pg.1075]    [Pg.235]   


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Delay Time Parameter Estimation

Dielectric-experimental parameters Relaxation time

Discrete time (digital) fixed parameter feedback controllers

Dispersion parameters characteristic time scale

Effect of Wilhelmy Balance Parameters on Fluid Holding Time

Estimated parameters for the Naphtha time series

Estimating the Time Series Model Parameters

Geometry time parameters

Impedance-experimental parameters Relaxation time

Mean time parameters

Order parameter response time

Parameter time-varying

Parameters Involving Length and Time

Physicochemical parameters, retention time prediction based

Process parameters ignition delay time

Process parameters kinetic modeling, reaction time

Process parameters reaction time

Process parameters residence time

Process parameters time history, temperature

Process-control parameters from time-temperature superposition

Reduced parameters separation time

Reduced time-scale parameter

Relaxation time parameter

Relaxation times steady-state parameters

Relaxation-time parameter image

Residence-time parameter, critical

Residence-time parameter, critical reactors

Short-contact-time process parameters

Small parameters fast time scale

Time as a Parameter

Time parameters techniques

Time parameters viscosity measurements

Time parameters, Metropolis Monte Carlo

Time scales small parameters

Time, refolding parameter

Time-averaged particle parameters, liquid

Time-dependent Ginzburg-Landau parameter

Time-domain parameters

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