|
|
|
|
|
|
|
|
Prognosis and Health Management |
|
|
|
|
|
|
The prognosis and 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. PHM Systems are needed to predict the health of aeroengines and
maintain a safe and reliable operating life of aircrafts. We are currently
developing an Analytical Software System for Prognosis Health Management (PHM) of
Aerospace Systems. Our research and development will focus on the prognostics and
the decision-making elements of the PHM system where the data collected from the
sensors will be used to predict the behaviour of the components as well as the whole
system.
Our objectives are:
- to develop physics-based models to better understand the failure
mechanisms;
- to develop statistical models to understand the signatures of failures long
before the failures actually occur;
- to design and build a prognostic system that incorporates the models of the
engine system we develop;
- to integrate all the aspects of decision making process into the prognostic
software system.
We have collaborations with the University of Waterloo and National Research Council.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|