Lifetime prediction of components for reuse: an overview
A state-of-the-art prediction of the remaining life of a product is discussed in detail in this paper on the basis of a literature study. The objective is to develop a robust model for estimating the remaining life of a product on the basis of data collected during its operating life. Very little re...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Inderscience Publishers
2004
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/19926 |
| _version_ | 1848750167535124480 |
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| author | Kara, S. Mazhar, Muhammad Ilyas Kaebernick, H. |
| author_facet | Kara, S. Mazhar, Muhammad Ilyas Kaebernick, H. |
| author_sort | Kara, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A state-of-the-art prediction of the remaining life of a product is discussed in detail in this paper on the basis of a literature study. The objective is to develop a robust model for estimating the remaining life of a product on the basis of data collected during its operating life. Very little research has been devoted to the remaining life prediction as a whole, but most research has been focused on predicting the mean time between failures (MTBF) and/or mean time to failure (MTTF). The authors of this paper have gathered this information to reflect the nature of the work of researchers to date and use it as a basis for model development. |
| first_indexed | 2025-11-14T07:32:32Z |
| format | Journal Article |
| id | curtin-20.500.11937-19926 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:32:32Z |
| publishDate | 2004 |
| publisher | Inderscience Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-199262017-01-30T12:16:27Z Lifetime prediction of components for reuse: an overview Kara, S. Mazhar, Muhammad Ilyas Kaebernick, H. sustainable manufacturing reuse MTTF MTBF decision making on reuse neural networks operating data A state-of-the-art prediction of the remaining life of a product is discussed in detail in this paper on the basis of a literature study. The objective is to develop a robust model for estimating the remaining life of a product on the basis of data collected during its operating life. Very little research has been devoted to the remaining life prediction as a whole, but most research has been focused on predicting the mean time between failures (MTBF) and/or mean time to failure (MTTF). The authors of this paper have gathered this information to reflect the nature of the work of researchers to date and use it as a basis for model development. 2004 Journal Article http://hdl.handle.net/20.500.11937/19926 Inderscience Publishers restricted |
| spellingShingle | sustainable manufacturing reuse MTTF MTBF decision making on reuse neural networks operating data Kara, S. Mazhar, Muhammad Ilyas Kaebernick, H. Lifetime prediction of components for reuse: an overview |
| title | Lifetime prediction of components for reuse: an overview |
| title_full | Lifetime prediction of components for reuse: an overview |
| title_fullStr | Lifetime prediction of components for reuse: an overview |
| title_full_unstemmed | Lifetime prediction of components for reuse: an overview |
| title_short | Lifetime prediction of components for reuse: an overview |
| title_sort | lifetime prediction of components for reuse: an overview |
| topic | sustainable manufacturing reuse MTTF MTBF decision making on reuse neural networks operating data |
| url | http://hdl.handle.net/20.500.11937/19926 |