Using artificial intelligence for data reduction in mechanical engineering

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In this paper artificial neural networks and support vector machines are used to reduce the amount of vibration data that is required to estimate the Time Domain Average of a gear vibration signal. Two models for estimating the time domain average of a gear vibration signal are proposed. The models are tested on data from an accelerated gear life test rig. Experimental results indicate that the required data for calculating the Time Domain Average of a gear vibration signal can be reduced by up to 75% when the proposed models are implemented.
6 pages

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Computational Engineering, Finance, and Science, Artificial Intelligence, Neural and Evolutionary Computing

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http://salesiana.dossiersoluciones.com/handle/123456789/128810

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0705.1673
 http://arxiv.org/abs/0705.1673

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arXiv