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Measurement and signals

for example, if we have the species A, B and AB in solution, then the signal is given by the expression  [Pg.323]

To simplify the analysis, and to make the numerical analyses more stable, it is important that realistic assumptions are made about which species contribute to the signal, for example, in the case of radioactive detection, only those species that are labelled. [Pg.323]


Fig. 1.82.1. Comparison of pch data TM measurements and signals of mass spectrometer for mass 18 during freeze drying. Fig. 1.82.1. Comparison of pch data TM measurements and signals of mass spectrometer for mass 18 during freeze drying.
Central to systems analysis is the attempt to deyelop a predictiye model for the system s response to a giyen disturbance or perturbation. If a model can be proposed in adyance, then experimental input/output measurement and signal analysis are used to yerify that the proposed model is correct. This approach is called the "direct problem" of systems analysis. [Pg.26]

Servomechanisms, Section 2, Measurement and Signal Converters , AMCP 706-137 (1965)... [Pg.280]

Fig. 1.82.1. Comparison of pch data TM measurements and signals of mass spectrometer for mass 18 during freeze-drying. 1, pch by MT 2, mass spectrometer signal at mass 18 (Figure 10 from [1.62])... Fig. 1.82.1. Comparison of pch data TM measurements and signals of mass spectrometer for mass 18 during freeze-drying. 1, pch by MT 2, mass spectrometer signal at mass 18 (Figure 10 from [1.62])...
FTMA is a forced vibration test method based on direct measurement of stress and strain spectra. As with all forced vibration methods, FTMA is subject to spurious wave effects at high frequencies. The lower frequency limit is determined by transducers, signal conditioners, etc. The lower limit in this research was 35 Hz as determined by the inherent properties of the piezoelectric transducers. With different transducers (for example load cell for the force and LVDT for displacement measurements) and signal conditioners, FTMA should measure material properties down to much lower frequencies. [Pg.104]

The inherent sensor effect in active materials allows, in combination with proper measurement and signal processing methods, the simultaneous use of piezoelectric or magnetostrictive transducers as both sensors and actuators. At present there exists two different methods, a state quantity-related and a parameter-related for using these inherent sensor effects [336]. In both cases the mechanical values of F and s must be reconstructed from the measured electrical quantities. [Pg.254]

The Fourier transform is an important mathematical concept in many different areas of science, including optics, scattering and diffraction measurements, and signal processing, all of which can be applied to the various aspects of soft matter science. The key idea behind the Fourier transform is that any arbitrary function can be represented by a sum of sines and cosines of different... [Pg.207]

In the near future the technique will be further evaluated using ultrasonic signals from natural defects, e.g., fatigue cracks. The performance measure and the parameter optimization procedure wilt also be refined in order to obtain a computationally efficient implementation, easy to use for a trained operator. [Pg.95]

To verify the modelling of the data eolleetion process, calculations of SAT 4, in the entrance window of the XRII was compared to measurements of RNR p oj in stored data as function of tube potential. The images object was a steel cylinder 5-mm) with a glass rod 1-mm) as defect. X-ray spectra were filtered with 0.6-mm copper. Tube current and exposure time were varied so that the signal beside the object. So, was kept constant for all tube potentials. Figure 8 shows measured and simulated SNR oproj, where both point out 100 kV as the tube potential that gives a maximum. Due to overestimation of the noise in calculations the maximum in the simulated values are normalised to the maximum in the measured values. Once the model was verified it was used to calculate optimal choice of filter materials and tube potentials, see figure 9. [Pg.212]

In order to maximize the excitation, precautions have to be taken to avoid cross-talk between excitation and signal. Therefore differential probes are commonly used with a SQUID system Nevertheless, for the discussed defects the SQUID system has a lower excitation field by a factor of about 100 compared with the commereial system This we must keep in mind, when we compare measured signal to noise ratios. There is a potential to improve for small defeets, when eross-talk is managed very well. [Pg.301]

Selected sensor systems are moved over long cracks of different widths. The output signals are pre-calculated by using eq.(6). Measured and pre-calculated data are compared in 4.2.3.. [Pg.369]

Fig. 3 Measurement of signal stored in the memory buffer. Two markers can be set to arbitrary selected delay positions along the buflfer length and signal values can be read and compared. Fig. 3 Measurement of signal stored in the memory buffer. Two markers can be set to arbitrary selected delay positions along the buflfer length and signal values can be read and compared.
Shear Horizontal (SH) waves generated by Electromagnetic Acoustic Transducer (EMAT) have been used for sizing fatigue cracks and machined notches in steels by Time-of-Flight Diffraction (TOED) method. The used EMATs have been Phased Array-Probes and have been operated by State-of-the-art PC based phased array systems. Test and system parameters have been optimised to maximise defect detection and signal processing methods have been applied to improve accuracy in the transit time measurements. [Pg.721]

Upon considering the observation that even with 4 segments a detectable diffracted signal was observed, most popularly employed 4 segment EMATs, with unequal spacing and 780 kHz were tried for TOFD measurements and found to be very promising. [Pg.725]

Fig. 4a shows a characteristic narrow banded signal (860 kHz center frequency) from a flat steel surface (reference signal). A steel block was milled in a way that the distance of the upper and graved surface varied from 0 to about 1300 microns (Fig. 5). Moving the probe along the edge (see Fig. 5) about 30 signals have been acquired equidistantly (all 4 mm). Fig. 4b and 4c show two characteristic signals (position 6 and 12). The 30 measured signals have been preprocessed and deconvolved. Fig. 6 shows the evident correlation between measured TOF difference and signal position (depth of milled grave). Fig. 4a shows a characteristic narrow banded signal (860 kHz center frequency) from a flat steel surface (reference signal). A steel block was milled in a way that the distance of the upper and graved surface varied from 0 to about 1300 microns (Fig. 5). Moving the probe along the edge (see Fig. 5) about 30 signals have been acquired equidistantly (all 4 mm). Fig. 4b and 4c show two characteristic signals (position 6 and 12). The 30 measured signals have been preprocessed and deconvolved. Fig. 6 shows the evident correlation between measured TOF difference and signal position (depth of milled grave).
Traditional vs regression approach to automatic material characterization The traditional approach to automatic material characterization is based on physical reasoning where a. set of features of the signals that we assume to be the most relevant for solving the characterization problem is. selected. However, in situations with a complicated relation between the measurements and the material property to be characterized, this approach is not always applicable due to limited understanding of the underlying physical relations. [Pg.887]

Figure Bl.5.14 Possible lineshapes for an SFG resonance as a fiinction of the infrared frequency cojj. The measured SFG signal is proportional to + A/(cojj - + iF)P. Assuming both and F are real and... Figure Bl.5.14 Possible lineshapes for an SFG resonance as a fiinction of the infrared frequency cojj. The measured SFG signal is proportional to + A/(cojj - + iF)P. Assuming both and F are real and...
Techniques, such as spectroscopy (Chapter 10), potentiometry (Chapter 11), and voltammetry (Chapter 11), in which the signal is proportional to the relative amount of analyte in a sample are called concentration techniques. Since most concentration techniques rely on measuring an optical or electrical signal, they also are known as instrumental techniques. For a concentration technique, the relationship between the signal and the analyte is a theoretical function that depends on experimental conditions and the instrumentation used to measure the signal. For this reason the value of k in equation 3.2 must be determined experimentally. [Pg.38]

Analytical chemists make a distinction between calibration and standardization. Calibration ensures that the equipment or instrument used to measure the signal is operating correctly by using a standard known to produce an exact signal. Balances, for example, are calibrated using a standard weight whose mass can be traced to the internationally accepted platinum-iridium prototype kilogram. [Pg.47]

A fifth spectrophotometric method for the quantitative determination of the concentration of Pb + in blood uses a multiple-point standard addition based on equation 5.6. The original blood sample has a volume of 1.00 mb, and the standard used for spiking the sample has a concentration of 1560 ppb Pb +. All samples were diluted to 5.00 mb before measuring the signal. A calibration curve of Sjpike versus Vj is described by... [Pg.114]

In a quantitative analysis, we measure a signal and calculate the amount of analyte using one of the following equations. [Pg.130]

The first detector for optical spectroscopy was the human eye, which, of course, is limited both by its accuracy and its limited sensitivity to electromagnetic radiation. Modern detectors use a sensitive transducer to convert a signal consisting of photons into an easily measured electrical signal. Ideally the detector s signal, S, should be a linear function of the electromagnetic radiation s power, P,... [Pg.379]


See other pages where Measurement and signals is mentioned: [Pg.356]    [Pg.323]    [Pg.345]    [Pg.61]    [Pg.356]    [Pg.323]    [Pg.345]    [Pg.61]    [Pg.259]    [Pg.365]    [Pg.372]    [Pg.862]    [Pg.1179]    [Pg.1280]    [Pg.1283]    [Pg.1284]    [Pg.1617]    [Pg.1686]    [Pg.155]    [Pg.80]    [Pg.39]    [Pg.43]    [Pg.45]    [Pg.47]    [Pg.51]    [Pg.110]    [Pg.117]    [Pg.129]    [Pg.312]    [Pg.374]   


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