Authors:
Graham Hardwick
1
and
Isabella Panella
2
Affiliations:
1
Chief of Systems - Performance, UTC Aerospace Systems, Stafford Road, Wolverhampton and U.K.
;
2
APS System Engineering Manager, UTC Aerospace Systems, Stafford Road, Wolverhampton and U.K.
Keyword(s):
Prognostic, Health, Management, Commercial, Aircraft, Secondary, Flight, Control, Systems, Fowler, Flap, System, Power, Drive, Unit.
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Artificial Intelligence
;
Case Studies
;
Computer Simulation Techniques
;
Dynamical Systems Models and Methods
;
Formal Methods
;
Health Engineering and Technology Applications
;
Hydraulic and Pneumatic Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Mathematical Simulation
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Non-Linear Systems
;
Performance Analysis
;
Planning and Scheduling
;
Plant Simulation
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Symbolic Systems
Abstract:
The aviation industry has been utilising prognostic health management (PHM) to improve scheduled maintenance, reduce expensive aircraft on ground events (AOG) and improve active safety. PHM systems utilise legacy and real time aircraft data in conjunction with simulation models to forecast the remaining useful life (RUL) of components and systems which allow maintenance decisions to be managed. This work presents an industry based approach to PHM for one of the aircraft line replacement units (LRUs), specifically, the power drive unit (PDU) within a “generic” commercial aircraft secondary flight control system. The modelling infrastructure and its importance as a building block for the construction of a prognostic health management framework are highlighted. Example failure modes of a PDU are provided and potential benefits of PHM to mitigate these failure modes are examined. Finally simulation results from a physical model of the system in Simulink have been generated.