Equivalent source Acoustic parameters Signal analyses

Equivalent source characteristics

Microphone time-signals recorded in calibrated or non-calibrated multi-load tests can be imported and processed for the calculation of the pressure strength and impedance of one-port sources. The following methods can be implemented from the user interface shown in Figure 1:

Figure 1 One-port source measurement interface of ADEM

Two-load method

Assumes time-invariant, load-independent source. Requires a reference signal from the source.  Load over-determination can be used for statistical smoothing of measurement errors.   Tests can be steady or non-steady. 

Explicit two-load method

Assumes periodic source which may be time-variant and load-dependent (J.Sound and Vib. 260, 2003). Load over-determination and/or harmonic overdetermination can be used for statistical smoothing of measurement errors.  

Fuzzy two-load method

Requires only auto-spectrum measurements (a reference signal not required). Uncertainties due the measurement errors and load-dependency are taken into account by fuzzification (J.Sound and Vib. 397, 2017) .   Load over-determination is possible.   Gives upper and lower bounds for the source pressure strength. 

One-load method

Requires only one calibrated load and one auto-spectrum measurement as indicated in Figure 2. Fuzzy and crisp options of the method are available and are applied from a stand-alone user interface where the measured spectrum may be given discretely, or in 1/N octave bands or fixed bands in dB(L,A,B,C) units.

Figure 2 The one-load method

This method is particularly useful when the resources required for implementation of the multi-load methods described above are not available. The sound pressure level (SPL) spectrum radiated from the open end of an intake or exhaust system is customarily measured in the industry. The one-load method enables the estimation of the equivalent source characteristics from the knowledge of only such measured SPL spectrum and a block diagram model of the existing system without making blind assumptions.  

Simulation of the methods

One-dimensional gas dynamics engine simulation software, the use of which is routine in the automotive industry for engine performance predictions, may be used to compute the microphone signals required by the above described source measurement methods. For example, Figure 3 shows the exhaust section of a GT-Power model of a turbocharged engine, which is setup for outputting the microphone signals required by the tests. Also shown in the figure is the block diagram model of the measurement setup, which is used for the calculation of the equivalent source characteristics in ADEM.

Figure 3 The equivalent source plane is taken at the inlet section of pipe 267. Pressure sensors are located at the ends of pipe 269. Pipe 274 represents the loads. ADEM imports the outputted microphone signals and, if necessary, complements them with a tachometer signal.

Acoustic parameters

Signals recorded by the 4 microphones in the measurement setup shown in Figure 4, possibly with a mean flow, can be imported and processed in a single user interface to compute the following parameters:

Figure 4 Flow duct acoustics measurement bench. Microphone signals from a single plane calibration test can also processed (design parameters are provided on request).

Transmission Loss

The measurements are implemented in the SOURCE-LOAD 1 configuration, where LOAD 1 is anechoic.



The measurements are implemented in the SOURCE-LOAD 2 configuration, where LOAD 2 has the actual boundary condition.

Transfer matrix

The measurements may be implemented in either one of the following two configurations: SOURCE-LOAD 1 plus  SOURCE-LOAD 2, and SOURCE-LOAD 2 plus  LOAD 2-SOURCE

Reflection coefficient

The measurements are implemented in the SOURCE-LOAD 1 or 2 configuration.  In this case it suffices to process the microphone signals from either pair of the microphones.

Signal analysis

A snapshot of the signal analysis interface of ADEM is shown in Figure 5. This interface may be used for signal analyses tasks such as generating various time-signal forms, importing measured time-signals, playing and recording audio signals, pre- and -post processing of discrete time-signals by the fast Fourier transform, order analysis, frequency respose function calculation, and signal input in sound pressure calculations.  

Figure 5 A snapshot of the Signal Analysis user interface showing the order analysis of an imported runup signal, which is displayed at the uppermost frame of the form. The middle frame shows a Campbell diagram, which is calculated to the resolution specified in the input windows on the left. The horizontal cuts for a given engine rpm, as well as the sloping cuts for a given order of the engine rpm, of the Campbell diagram can be displayed in the lowermost frame. For example, the current curve shows the cut for the 2nd order.  

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