Using artificial intelligence for data reduction in mechanical engineering

Details Using artificial intelligence for data reduction in mechanical engineering Using artificial intelligence for data reduction in mechanical engineering

2007-05-11

arxiv.org/abs/0705.1673v1

Computer Science

Computational Engineering, Finance, and Science

6 pages

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Using artificial intelligence for data reduction in mechanical engineering does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Using artificial intelligence for data reduction in mechanical engineering, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using artificial intelligence for data reduction in mechanical engineering will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-411714