Paper Title:
Sustainable Manufacturing Oriented Prognosis for Facility Reuse
  Abstract

Reuse is considered as one of the most reasonable strategies to realize sustainability. This paper presents an efficient methodology of ann-based prognosis combined with reliability methods to evaluate and guarantee the reusability of facility. The methodology provides the prediction of the remaining life of facility utilizing artificial neural networks. Corresponding reliability is calculated through fitting Weibull distribution to in-house time-to-failure data. Maintenance decision is made by predicting the time when the reliability or remaining life of facility reach the thresholds decided by facility’s reusability. Application results show that the proposed methodology provides effective condition information for reuse decision making from both historical and on-line perspectives.

  Info
Periodical
Edited by
Daizhong Su, Qingbin Zhang and Shifan Zhu
Pages
437-440
DOI
10.4028/www.scientific.net/KEM.450.437
Citation
J. H. Yan, D. G. Hua, X. Wang, "Sustainable Manufacturing Oriented Prognosis for Facility Reuse", Key Engineering Materials, Vol. 450, pp. 437-440, 2011
Online since
November 2010
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Price
$32.00
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