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Integration of an End-of-Line System for Vibro-Acoustic Characterization and Fault Detection of Automotive Components Based on Particle Velocity Measurements
Technical Paper
2017-01-1761
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The automotive industry is currently increasing the noise and vibration requirements of vehicle components. A detailed vibro-acoustic assessment of the supplied element is commonly enforced by most vehicle manufacturers. Traditional End-Of-Line (EOL) solutions often encounter difficulties adapting from controlled environments to industrial production lines due the presence of high levels of noise and vibrations generated by the surrounding machinery. In contrast, particle velocity measurements performed near a rigid radiating surface are less affected by background noise and they can potentially be used to address noise problems even in such conditions. The vector nature of particle velocity, an intrinsic dependency upon surface displacement and sensor directivity are the main advantages over conventional solutions. As a result, quantitative measurements describing the vibro-acoustic behavior of a device can be performed at the final stage of the manufacturing process. This paper presents the practical implementation of an EOL system based on data acquired with a single 3D probe containing three orthogonally placed acoustic particle velocity sensors. Aspects such as installation process, feature extraction, classification, fault detection and diagnosis are hereby discussed. The presented results provide experimental evidence for the viability of particle velocity-based solutions for EOL control applications.
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Citation
Fernandez Comesana, D., Carrillo Pousa, G., and Tijs, E., "Integration of an End-of-Line System for Vibro-Acoustic Characterization and Fault Detection of Automotive Components Based on Particle Velocity Measurements," SAE Technical Paper 2017-01-1761, 2017, https://doi.org/10.4271/2017-01-1761.Also In
References
- Randall , R. B. Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications John Wiley & Sons 2011
- Carrillo Pousa , G. , Fernandez Comesana , D. and Wild , J. Acoustic particle velocity for fault detection of rotating machinery using tachless order analysis Inter-Noise 2015
- Bree , H. E. , and Druyvesteyn. W. F. A particle velocity sensor to measure the sound from a structure in the presence of background noise Proceedings of Forum Acusticum 2005
- Fernandez Comesana , D. , Yang , F. and Tijs , E. Influence of background noise on non-contact vibration measurements using particle velocity sensors Proceedings of Inter-Noise 2014
- Carrillo Pousa , G. , Korbasiewicz , M. , and Fernandez Comesana , D. Fault detection system using acoustic particle velocity in noisy environments based on kurtosis ISMA 2014
- Weyna , S. Acoustic flow visualization based on the particle velocity measurements Forum Acusticum 2005
- Brandt , A. , Lago , t. , Ahlin , K. , and Tuma. J. Main principles and limitations of current order tracking methods Sound and Vibration 39 3 19 22 2005
- Borghesani , P. , Pennacchi , P. , Chatterton , S. , and Ricci , R. The velocity synchronous discrete Fourier transform for order tracking in the field of rotating machinery Mechanical Systems and Signal Processing 44 1 118 133 2014
- Bishop , C. M. Pattern recognition and Machine Learning Springer 2006
- Nelwamondo , F.V. , and Marwala , T. Faults detection using Gaussian Mixture Models, Mel-Frequency Cepstral Coefficients and Kurtosis IEEE International Conference on Systems, Man and Cybernetics 1 290 295 2006