![]() ![]() Practical Spectrum Scaling Options of the Condition Monitoring Library, which relate to the properties referred to in this section, include eCM_ROOT_POWER_SUM and eCM_RMS.īy selecting a suitable Spectrum Scaling Options, the spectral values calculated by the FB_CMA_PowerSpectrum or FB_CMA_MagnitudeSpectrum function block can be automatically adjusted to a desired reference variable. In practice this allows RMS values, for example, to be calculated for limited frequency ranges of a signal. If one now calculates the RMS value of the signal x, this can be realized in the time range or in the frequency range, since both representations are identical with regard to the power: Using the power spectrum makes sense if power values are added up or consolidated, since the squared spectral values | X| 2 relate exactly to the RMS value of the time signal via Parseval's theorem.Īccording to Parseval’s theorem, the power of signal x in the time representation equals the power of the signal in the Fourier transform: The FB_CMA_PowerSpectrum, whose values represent the squares of the magnitude values | X| 2. ![]() It is also called the amount spectrum or amplitude spectrum. The FB_CMA_MagnitudeSpectrum, which uses linearly scaled magnitude values of the complex-valued spectral values | X|.There are several common ways of evaluating the spectrum: Scaling of spectra Magnitude and power spectrum TF3600 | TwinCAT 3 Condition Monitoring. ![]()
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