Lifetime prediction of components for reuse: an overview. (29th November 2004)

• Record Type: Journal Article
• Authors: Kara, Sami; Mazhar, Muhammad Ilyas; Kaebernick, Hartmut
• Is Part Of: International journal of environmental technology and management. Volume 4:Number 4(2004)
• Page Start: 323
• Page End: 348
• Publication Date: 2004-11-29
• Subjects: decision making -- MTBF -- MTTF -- neural networks -- operating data -- reuse -- sustainable manufacturing -- product lifetime prediction -- component lifetime prediction -- environmental manufacturing -- green manufacturing -- product life cycle; Environmental management -- Periodicals; Green technology -- Periodicals; 333.705
• Languages: English
• ISSNs: 1466-2132

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.