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The prediction of measurement variability in an automotive application by the use of a coherence formulation

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journal contribution
posted on 11.09.2017, 08:46 by Amy Dowsett, Daniel O'Boy, Stephen Walsh, Ali Abolfathi, Stephen A. Fisher
Variability between nominally identical vehicles is an ever present problem in automotive vehicle design. In this paper it is shown that it is possible to quantify and, therefore, separate the measurement variability arising from a number of tests on an individual vehicle from the vehicle to vehicle variability arising from the manufacturing process from a series of controlled experiments. In this paper the coherence data is used to identify the measurement variability and, thus, to separate these two variability sources. In order to illustrate the methodology a range of nominally identical automotive vehicles have been tested for NVH (noise, vibration and harshness) variability by exciting the engine mount with an impact hammer and measuring the excitation force and corresponding velocity responses at different points on the vehicle. Normalised standard deviations were calculated for the transfer mobility data, giving variability values of 25.3 %, 33.5 % and 37.3 % for the responses taken at the suspension Strut, Upper A Pillar and B Pillar respectively. The measurement variability was determined by taking repeat measurements on a single vehicle, and was found to be 2.9 %. The measurement variability predicted by the coherence data on the multi-vehicle tests was compared with the directly taken repeat measurements taken on a single vehicle and was shown to agree well with one another over the frequency range of interest.

Funding

This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/K014102/1 as part of the jointly funded Programme for Simulation Innovation.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Citation

DOWSETT, A. ...et al., 2018. The prediction of measurement variability in an automotive application by the use of a coherence formulation. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 232(12), pp. 1694-1700.

Publisher

© IMechE

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

06/09/2017

Publication date

2018

Notes

This is an Open Access Article. It is published by SAGE under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

ISSN

0954-4070

Language

en

Location

UK

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