Show simple item record

dc.contributor.authorKara, S.
dc.contributor.authorMazhar, Muhammad Ilyas
dc.contributor.authorKaebernick, H.
dc.date.accessioned2017-01-30T12:16:27Z
dc.date.available2017-01-30T12:16:27Z
dc.date.created2010-04-07T20:02:25Z
dc.date.issued2004
dc.identifier.citationKara, Sami and Mazhar, Muhammad Ilyas and Kaebernick, Hartmut. 2004. Lifetime prediction of components for reuse: an overview. International Journal of Environmental Technology and Management. 4 (4): pp. 323-348.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/19926
dc.description.abstract

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.

dc.publisherInderscience Publishers
dc.subjectsustainable manufacturing
dc.subjectreuse
dc.subjectMTTF
dc.subjectMTBF
dc.subjectdecision making on reuse
dc.subjectneural networks
dc.subjectoperating data
dc.titleLifetime prediction of components for reuse: an overview
dc.typeJournal Article
dcterms.source.volume4
dcterms.source.number4
dcterms.source.startPage323
dcterms.source.endPage348
dcterms.source.issn14662132
dcterms.source.titleInternational Journal of Environmental Technology and Management
curtin.accessStatusFulltext not available
curtin.facultySchool of Engineering
curtin.facultyFaculty of Science and Engineering
curtin.facultyDepartment of Mechanical Engineering


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record