2000
DOI: 10.1006/jsvi.2000.3034
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Linearity Tests for in-Duct Acoustic One-Port Sources

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Cited by 40 publications
(8 citation statements)
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References 10 publications
(16 reference statements)
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“…For this, Boden's linearity test 8,14 has been carried out at two measurement points, one upstream (dirty side) of the filter and another downstream (cleaner side) of the filter, near the intake manifold. Linearity coefficient of an over-determined system, A.x = b, is defined as…”
Section: Resultsmentioning
confidence: 99%
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“…For this, Boden's linearity test 8,14 has been carried out at two measurement points, one upstream (dirty side) of the filter and another downstream (cleaner side) of the filter, near the intake manifold. Linearity coefficient of an over-determined system, A.x = b, is defined as…”
Section: Resultsmentioning
confidence: 99%
“…(14), the least square fit of different values of A obtained from their respective SSL spectra corresponding to various values of the air-fuel ratio AFR are found to follow the relation …”
Section: The Values Of a And B Of Ssl For The Turbocharged Enginementioning
confidence: 99%
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“…Although the technique is quite useful in tuning the whole piping system in the viewpoint of engine performance, it has limitation in calculation speed and computer memory space for the acoustic analysis, in particular due to the geometrical complexity. Lavrentjev et al [6] and Bodén and Albertson [7] suggested techniques which can be used for testing the linearity of the target noise source. In many cases, without loss of generality, automotive intake and exhaust systems are considered as pseudo-linear systems and a linear acoustic analysis technique is usually employed.…”
Section: Introductionmentioning
confidence: 99%
“…The purpose of the present paper is to study nonlinear energy transfer for high level acoustic excitation using techniques similar to acoustic multi-port source characterization techniques developed for studying the interaction between acoustic sources and connected duct systems. [23][24][25][26] If linear system identification theory is used it is assumed that superposition applies and that the functions studied are analytical at each level of excitation. Polyharmonic distortion (PHD) modeling, [27][28][29] used for studying the nonlinear properties of microwave systems, does not assume analytic functions nor does it assume application of normal superposition.…”
Section: Introductionmentioning
confidence: 99%