技術レポート FFTアナライザーについて 7
4. How to Read the FFT Analyzer Screen
Value of Y-axis 4.4
Next, let's consider the values of the Y-axis displayed by the FFT analyzer. If the k-th spectrum obtained from the sample value sequence x(n) is denoted as a k and b k;
Fourier spectrum
Power Spectrum
1. Spectral representation of single amplitude.
2. Full Amplitude Representation Spectrum
3. Effective Value Display Spectrum
4. Logarithmic representation of the one-sided amplitude spectrum
5. Full Amplitude Spectrum in Logarithmic Representation
6. Effective value spectrum in logarithmic representation
Phase Spectrum
Calculus
Acceleration α, velocity v, displacement x, and frequency f are related through calculus.
The symbol ±j and the sign - indicate a phase difference of ±90° and -180°.
overalls
The next page will show the displayed waveform of the FFT analyzer while providing a detailed explanation of the Y-axis values (1) to (5) mentioned above.
There are methods to express the amplitude of a sine wave, including total amplitude value, half amplitude value, and effective value.
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Data 7
The data above, Data 7, shows the time-domain waveform of a cosine wave. The width of the + peak and - peak of the amplitude is called the full amplitude value, and half of the full amplitude value is referred to as the half amplitude value. Additionally, the effective value is defined as "the magnitude of alternating current expressed as the direct current value that consumes the same power in the same resistance," which is equal to the square root of the average of the square of the instantaneous values of the alternating current over one cycle. In other words, if the instantaneous value of the alternating current is x(t), then its effective value is;
The effective value calculated by the above formula, when the alternating signal is a pure sine wave, is equal to the peak amplitude value divided by √2.
Data 8 displays the spectrum of the time axis waveform from Data 7, represented in effective values, in the second row. From this data, it can be understood that the input signal is a 1 Hz signal with an effective value of 1.004 Vrms.
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Data 8
In the third row of Data 8, a representation of the same waveform using half-amplitude values is provided. Furthermore, half-amplitude values can be calculated manually as follows.
The fourth segment is represented as the total amplitude value, which can similarly be calculated.
The fifth section presents the effective value in logarithmic form, and according to the previously shown formula, dB Vrms is:
The 6th segment presents the half-amplitude value in logarithmic form, where dBV is;
Data 9 is for explaining the integration of the spectrum. The first row shows the input signal, and the second row displays the spectrum in terms of effective value. (From the spectrum, it can be seen that the input signal has a frequency of f = 1 Hz and a voltage of Vr = 6.924 V.)
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Data 9
The third section shows the spectrum after a single integration. According to the formula presented earlier, it is the second spectrum multiplied by 1/jω. Additionally, the fourth section presents the spectrum after double integration. Since 1/j represents a -90° phase delay, the magnitudes of each integral can be calculated as follows, ignoring the phase.
When the input signal has an acceleration α (m/s 2), the velocity and displacement are obtained by integrating the acceleration once and twice. Therefore, by considering the sensitivity of the acceleration sensor, which is how many volts correspond to 1 m/s 2, and converting the voltage to acceleration, it will be possible to determine the velocity and displacement for each frequency from the above equation.
The differential results of the spectrum are shown in Data 10.
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Data 10
The first row is the input signal, and the second row is the effective value display spectrum. From this spectrum, it can be seen that the input signal is 1 Hz and 100.467 V. The third and fourth rows of data are the spectra obtained by taking the first and second derivatives of the second row spectrum, respectively, and according to the earlier section (4) of this item, they are multiplied by jω and (jω) 2. Since j represents a phase advance of +90°, the spectrum (magnitude) can be calculated from the following equation.
In contrast to the case of integration, if the input signal is displacement, differentiation can be used to obtain velocity and acceleration.
I will explain about overall (O.A) in Data 11.
Overall power is synthesized from the entire frequency spectrum and corresponds to the power in the time domain (mean square value). Please note that this power is based on a certain number of sample points (for example, 2048 points).
The overall is sought as follows.
(1) When the Y-axis is not logarithmic (refer to Data 11-1)
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Data 11-1 -
In the lower section of Data 11-1, the peak points of each spectrum are listed, but all values other than this peak value are set to zero, and with H f = 1, the approximate overall value can be calculated as follows.
The overall value is displayed in the upper right corner of the data.
(2) When the Y-axis is logarithmic (refer to Data 11-2)
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Data 11-2
similarly to (1);
can seek overalls as.
Data 11-2 is the dB representation of Data 11-1, and when calculating its overall value with H f = 1, it results in the following.
Overalls correspond to indicators that show effective values, such as the meter readings of a vibration meter and a sound level meter.
How was this explanation? I mainly explained the relationship between the time axis and the Fourier transformed X and Y axes, using the waveforms displayed on the FFT analyzer as examples. If you have any questions, please feel free to contact us. The analyzer used for data collection is the CF-5220 multi-purpose FFT analyzer. Next time, we will discuss important input processing when capturing signals with the FFT analyzer. The discussion about the 'FFT analyzer' will continue for a while longer.........
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