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- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
- ISSN
- 0036-8792
- DOI
- 10.1108/00368790410532183
- Publisher site
- See Article on Publisher Site
Abstract
All deep‐groove ball bearings have similar features in geometry, mechanism, and structure. Stiffness of this type of bearings is related to geometry, dimensions, and operating conditions by a very complex, high‐order and coupled‐variable function. This paper has verified that the stiffness function for all deep‐groove ball bearings can be replaced by a back‐propagation neural network (BPNN) which is trained by using some (not all) samples.
Journal
Industrial Lubrication and Tribology – Emerald Publishing
Published: Jun 1, 2004
Keywords: Mechanical components; Neural nets; Computer aided design