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Dataset . 2020
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Dataset . 2020
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E-NVH Benchmark - Tooth Frequency Response Functions

Research datakeyboard_double_arrow_right Dataset 17 Jun 2020 English Publisher:Zenodo
Authors: Degrendele, Karine; Le Besnerais, Jean; Pile, Raphael; Gning, Paul; Devillers, Emile; Wen, Xin;

doi: 10.5281/zenodo.3898553 , 10.5281/zenodo.3923716 , 10.5281/zenodo.3898554

E-NVH Benchmark - Tooth Frequency Response Functions

Abstract

This dataset contains the tooth frequency response functions (TFRF) characterizing the response of an electric motor stator to the magnetic force excitation. The TFRF consists in loading a single tooth with a single load vector and measuring the response on the external yoke. However, for practical reasons, the experimental Tooth FRF are obtained by reciprocity, by impacting the external yoke with an impact hammer and measuring the tooth response with an accelerometer normalized by the injected force.

Acknowledgement: the authors thank the company Oros for providing an OROS OR38 32 channel data acquisition system that allowed to significantly speed-up the measurement process.

Keywords

electrical machine, magnetic force, vibration, e-NVH, magneto-mechanical

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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