Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Application of Shainin DoE tool to Explore Unknown Variables causing 'Ghost Noise' in 5th Gear Cycle of Transaxles during NVH Testing

Authors
Rajendra Khavekar, Hari Vasudevan, Harshvardhan Desai
Corresponding Author
Rajendra Khavekar
Available Online December 2016.
DOI
https://doi.org/10.2991/iccasp-16.2017.43How to use a DOI?
Keywords
NVH, DOE, Shainin, Multi-Vary analysis, Component search
Abstract
As the automotive industry is growing at an increasing pace today, there is severe competition and pressure to produce vehicles, which meet the ever increasing expectations of the consumers. The demand for increased vehicular refinement ensures that many manufacturers implement stringent Noise, Vibration and Harshness (NVH) testing. This study focuses on the analysis done at an automotive manufacturer 'M', on the transaxles used in a certain hatchback model. The attempt was to resolve the issue of a high pitched 'ghost noise' origination from the transaxle heard during the 5th Gear cycle at the End of assembly Line (EOL) testing. A DOE tool associated with Shainin Methodology, namely Component Search was applied to find the root cause of the problem.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
DOI
https://doi.org/10.2991/iccasp-16.2017.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rajendra Khavekar
AU  - Hari Vasudevan
AU  - Harshvardhan Desai
PY  - 2016/12
DA  - 2016/12
TI  - Application of Shainin DoE tool to Explore Unknown Variables causing 'Ghost Noise' in 5th Gear Cycle of Transaxles during NVH Testing
BT  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccasp-16.2017.43
DO  - https://doi.org/10.2991/iccasp-16.2017.43
ID  - Khavekar2016/12
ER  -