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Prognostics and Health Management of an Electro-Hydraulic Servo Actuator
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Electro-Hydraulic Servo Actuators (EHSA) is the principal technology used for primary flight control in new aircrafts and legacy platforms. The development of Prognostic and Health Management technologies and their application to EHSA systems is of great interest in both the aerospace industry and the air fleet operators.
This paper presents the results of an ongoing research activity focused on the development of a PHM system for fly-by-wire primary flight EHSA. One of the key features of the research is the implementation of a PHM system without the addition of new sensors, taking advantage of sensing and information already available. This choice allows extending the PHM capability to the EHSAs of legacy platforms and not only to new aircrafts. The enabling technologies borrow from the area of Bayesian estimation theory and specifically particle filtering and the information acquired from EHSA during pre-flight check is processed by appropriate algorithms in order to obtain relevant features, detect the degradation and estimate the Remaining Useful Life (RUL). The results are evaluated through appropriate metrics in order to assess the performance and effectiveness of the implemented PHM system
Title: Prognostics and Health Management of an Electro-Hydraulic Servo Actuator
Description:
Electro-Hydraulic Servo Actuators (EHSA) is the principal technology used for primary flight control in new aircrafts and legacy platforms.
The development of Prognostic and Health Management technologies and their application to EHSA systems is of great interest in both the aerospace industry and the air fleet operators.
This paper presents the results of an ongoing research activity focused on the development of a PHM system for fly-by-wire primary flight EHSA.
One of the key features of the research is the implementation of a PHM system without the addition of new sensors, taking advantage of sensing and information already available.
This choice allows extending the PHM capability to the EHSAs of legacy platforms and not only to new aircrafts.
The enabling technologies borrow from the area of Bayesian estimation theory and specifically particle filtering and the information acquired from EHSA during pre-flight check is processed by appropriate algorithms in order to obtain relevant features, detect the degradation and estimate the Remaining Useful Life (RUL).
The results are evaluated through appropriate metrics in order to assess the performance and effectiveness of the implemented PHM system.
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