Determining the Reuse Potential of Components Based on Life Cycle Data
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 s...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
CIRP
2005
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/22813 |
| _version_ | 1848750976367853568 |
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| author | Kara, S. Mazhar, Ilyas Kaebernick, H. Ahmed, A. |
| author_facet | Kara, S. Mazhar, Ilyas Kaebernick, H. Ahmed, A. |
| author_sort | Kara, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:45:23Z |
| format | Journal Article |
| id | curtin-20.500.11937-22813 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:45:23Z |
| publishDate | 2005 |
| publisher | CIRP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-228132017-02-28T01:36:31Z Determining the Reuse Potential of Components Based on Life Cycle Data Kara, S. Mazhar, Ilyas Kaebernick, H. Ahmed, A. Condition Monitoring Life Cycle Reuse 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. 2005 Journal Article http://hdl.handle.net/20.500.11937/22813 CIRP restricted |
| spellingShingle | Condition Monitoring Life Cycle Reuse Kara, S. Mazhar, Ilyas Kaebernick, H. Ahmed, A. Determining the Reuse Potential of Components Based on Life Cycle Data |
| title | Determining the Reuse Potential of Components Based on Life Cycle Data |
| title_full | Determining the Reuse Potential of Components Based on Life Cycle Data |
| title_fullStr | Determining the Reuse Potential of Components Based on Life Cycle Data |
| title_full_unstemmed | Determining the Reuse Potential of Components Based on Life Cycle Data |
| title_short | Determining the Reuse Potential of Components Based on Life Cycle Data |
| title_sort | determining the reuse potential of components based on life cycle data |
| topic | Condition Monitoring Life Cycle Reuse |
| url | http://hdl.handle.net/20.500.11937/22813 |