Volume 1, Issue 1, January 2008, Pages 94 - 102
Current Computational Trends in Equipment Prognostics
- J. Wesley Hines, Alexander Usynin
- Corresponding Author
- J. Wesley Hines
Available Online 1 January 2008.
- https://doi.org/10.2991/ijcis.2008.1.1.7How to use a DOI?
- CURRENT COMPUTATIONAL TRENDS IN EQUIPMENT PROGNOSTICS The article overviews current trends in research studies related to reliability prediction and prognostics. The trends are organized into three major types of prognostic models: failure data models, stressor models, and degradation models. Methods in each of these categories are presented and examples are given. Ad- ditionally, three particular computational prognostic approaches are considered; these are Markov chain- based models, general path models, and shock models. A Bayesian technique is then presented which integrates the prognostic types by incorporate prior reliability knowledge into the prognostic models. Finally, the article also discusses the usage of diagnostic/prognostic predictions for optimal control.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - J. Wesley Hines AU - Alexander Usynin PY - 2008 DA - 2008/01 TI - Current Computational Trends in Equipment Prognostics JO - International Journal of Computational Intelligence Systems SP - 94 EP - 102 VL - 1 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2008.1.1.7 DO - https://doi.org/10.2991/ijcis.2008.1.1.7 ID - Hines2008 ER -