Title: Lifetime prediction of components for reuse: an overview

Authors: Sami Kara, Muhammad Ilyas Mazhar, Hartmut Kaebernick

Addresses: School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia. ' School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia. ' School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia

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.

Keywords: decision making; MTBF; MTTF; neural networks; operating data; reuse; sustainable manufacturing; product lifetime prediction; component lifetime prediction; environmental manufacturing; green manufacturing; product life cycle.

DOI: 10.1504/IJETM.2004.005720

International Journal of Environmental Technology and Management, 2004 Vol.4 No.4, pp.323 - 348

Available online: 28 Nov 2004 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article