An Integrated PHM Approach for Gas Turbine Engines

Author

Patnaik, Alok R. ; Narasimhan, V. ; Nayak, Amiya ; Patnaik, Prakash C.

Author_Institution

Tecsis Corp., Ottawa, Ont.

fYear

2006

fDate

38838

Firstpage

2476

Lastpage

2479

Abstract

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

Keywords

aerospace components; aerospace computing; aerospace industry; condition monitoring; fuzzy logic; gas turbines; neural nets; statistics; aerospace components; aerospace industry; condition monitoring; decision-making; experience-based modelling; fuzzy logic technique; gas turbine engines; health assessment; neural network; physical reasoning; physics-based modelling; prognosis-health management; sensors; signal processing; statistical properties; Aerospace components; Condition monitoring; Decision making; Engines; Fuzzy logic; Neural networks; Prognostics and health management; Sensor systems; Signal processing; Turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on

Conference_Location

Ottawa, Ont.

Print_ISBN

1-4244-0038-4

Electronic_ISBN

1-4244-0038-4

Type

conf

DOI

10.1109/CCECE.2006.277288

Filename

4055072