An integrated PHM approach for gas turbine engines

被引：0

作者：

Patnaik, Alok R. ^{[1
]}

Narasimhan, V. ^{[3
]}

Nayak, Amiya ^{[2
]}

Patnaik, Prakash C. ^{[4
]}

机构：

[1] Tecsis Corp, 200-210 Colonnade Rd, Ottawa, ON K2E 7L5, Canada

[2] Univ Ottawa, SITE, Ottawa, ON KIN 6N5, Canada

[3] Cent Queensland Univ, Fac Informat & Commu, Melbourne, Vic, Australia

[4] Natl Res Council Canada, Inst Aerosp Res, Ottawa, ON K1A 0R6, Canada

来源：

2006 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-5 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The prognosis & health management (PHM) of aerospace components is a very complex system. A complete PHM system involves sensors, signal processing, condition monitoring, health assessment, physical reasoning and decision- making. Such an integrated approach to prognostics involves physics-based modelling, experience-based modelling and modelling based on the statistical properties of the components by using neural network and fuzzy logic techniques. In this paper, we give an overview of the PHM system currently being developed.

引用

页码：2386 / +

页数：2

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