CURRENT COMPUTATIONAL TRENDS IN EQUIPMENT PROGNOSTICS

被引：25

作者：

Hines, J. Wesley ^{[1
]}

Usynin, Alexander ^{[1
]}

机构：

[1] Univ Tennessee, Dept Nucl Engn, Knoxville, TN 37996 USA

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2008年 / 1卷 / 01期

关键词：

prognostics; reliability; Markov chain models; general path model; shock model; optimal control;

D O I：

10.2991/ijcis.2008.1.1.7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. Additionally, 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.

引用

页码：94 / 102

页数：9