3rd IET International Conference on Power Electronics, Machines and Drives (PEMD 2006) 2006
DOI: 10.1049/cp:20060103
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Spectral composition of stator vibrations resulting from modal superposition in SRM

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Cited by 8 publications
(3 citation statements)
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“…Fig.10 shows a comparison of the constructed limiting spectrum and measurements for a 8/6 SRM. The modal composition of the acoustic noise spectrum can be determined according to the theory presented in [14].The limiting envelope spectrum can thus be sampled at the relating frequencies to construct the resulting spectrum which of course employs only multiples of the fundamental electric frequency. In a subsequent step, also an A-weighting characteristic may be added to the spectrum to account for the sound perception of the human ear.…”
Section: E Construction Of Resulting Noise Spectrummentioning
confidence: 99%
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“…Fig.10 shows a comparison of the constructed limiting spectrum and measurements for a 8/6 SRM. The modal composition of the acoustic noise spectrum can be determined according to the theory presented in [14].The limiting envelope spectrum can thus be sampled at the relating frequencies to construct the resulting spectrum which of course employs only multiples of the fundamental electric frequency. In a subsequent step, also an A-weighting characteristic may be added to the spectrum to account for the sound perception of the human ear.…”
Section: E Construction Of Resulting Noise Spectrummentioning
confidence: 99%
“…Depending on the number of active stator poles, some of the harmonics are canceled off the spectrum as shown in [14]. Which harmonics dominate and which are dimished depends strongly on the dominant vibration modes of the stator structure.…”
Section: A Radial Force Excitationmentioning
confidence: 99%
“…The finite element modeling of SRM mechanical behavior by modal superposition corresponds to find resonant frequencies associated with strain at resonance [4]. These frequencies are obtained with (1) deduced from Lagrange equations:…”
Section: Finite Element Modeling Of Srmmentioning
confidence: 99%