A framework for novelty detection in jet engine vibration data

被引：17

作者：

Clifton, David A. ^{[1
,2
]}

Bannister, Peter R. ^{[1
]}

Tarassenko, Lionel ^{[1
]}

机构：

[1] Univ Oxford, Dept Engn Sci, Parks Rd, Oxford, England

[2] Oxford BioSignals Ltd, Oxford, England

来源：

DAMAGE ASSESSMENT OF STRUCTURES VII | 2007年 / 347卷

关键词：

novelty detection; condition monitoring; visualisation; gas-turbine engines;

D O I：

10.4028/www.scientific.net/KEM.347.305

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

A novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for on- and off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour during aircraft flights, and are shown to provide early warning of engine events in real-time. Off-line techniques within the same analysis framework are shown to allow the tracking of single engines and fleets of engines from ground-based monitoring stations on a flight-by-flight basis. Results are validated by comparison to conventional techniques, in application to aerospace engines and other industrial high-integrity systems.

引用

页码：305 / +

页数：2