Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10673605 | CIRP Annals - Manufacturing Technology | 2005 | 4 Pages |
Abstract
Reuse of components is one of the most efficient strategies for product recovery, which requires reliable methods for assessing the quality and the remaining life of used components. A new methodology, presented in this paper, is based on the trend analysis of lifetime monitoring data. Data with similar trends were grouped and a number of analysis techniques such as Linear Multiple Regression, Dynamic Ordinary Kriging, Universal Kriging and Neural Networks were applied in order to find the most suitable methodology for each group. The methodology was validated by using lifetime monitoring data from a consumer product.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
S. Kara, M. Mazhar, H. Kaebernick, A. Ahmed,