Troels Dyhr Pedersen.indd - Solid Mechanics
Troels Dyhr Pedersen.indd - Solid Mechanics
Troels Dyhr Pedersen.indd - Solid Mechanics
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The SPL of the cylinder pressure, the acceleration level and the acoustic SPL can be<br />
calculated in short intervals and presented as in figure 15:<br />
Figure 15: Time domain representation of the SPL of the cylinder pressure, the engine acceleration<br />
level and the acoustic sound pressure level<br />
Here the SPL is expressed in dB. The red line represents the cylinder SPL which is seen<br />
to increase by more than 50 dB after combustion. The acceleration level (white line)<br />
increase by a similar dB value and is generally coherent with the cylinder pressure SPL.<br />
The acoustic signal (green line) also increases but remains at a higher level. As<br />
mentioned, the acoustic signal originates from the cylinder block resonance which is not<br />
properly measured by the accelerometer, and these vibrations are present much longer<br />
than the higher frequencies which tend do be attenuated fast.<br />
The time domain representation is useful to show the signal amplitude in time and how it<br />
is attenuated. It is however not possible to determine which frequencies are present in the<br />
signal. This may instead be visualized in with the frequency domain representation.<br />
11.6.4 Frequency domain representation<br />
To evaluate the frequency content in a discretely sampled signal, a DFT algorithm is<br />
used. The specific algorithm commonly applied is called Fast Fourier Transform (FFT).<br />
In the analysis, the frequency range from 0 Hz to the Nyquist frequency is split up into a<br />
number of equally spaced intervals. The number of intervals is equal to the sampling<br />
frequency divided by the number of samples, so that the frequency resolution becomes:<br />
f s Δ f =<br />
N s<br />
Usually the number of samples Ns is required to be a power of two (2, 4, 8, 16 etc). It is<br />
desired to have a short sample length in which the signal can be considered stationary.<br />
The sampling frequency is however very high, which implies that a large number of<br />
samples is also required to obtain an acceptable frequency resolution. To limit the sample