TY - GEN
T1 - Rerearch on a prognostic and health monitoring approach for EMAs in the flight control system
AU - Wang, Deyi
AU - Fu, Yongling
AU - Qi, Xiaoye
PY - 2014
Y1 - 2014
N2 - For a more critical use in commercial aircraft, the Electromechanical Actuators (EMAs) technology must prove to be the same level of safety and reliability as systems based on Electrohydrostatic Actuators (EHA) and Hydraulics Actuators (HAs).The use of a Prognostic and Health Monitoring (PHM) is an additional way to secure the jamming free approach for EMA in flight control system and is becoming recognized as an efficient strategy for increasing reliability and improving maintenance of EMAs in this area. Firstly, does a detailed analysis of the multi-EMA system, and builds the fault tree of system, considering the three aspects of the control unit, electrical equipment and mechanical equipment; secondly, monitors the real state of the EMAs, relying on already existing sensors and signals, such as motor currents, temperature sensor and position sensors, according to the presented results, the current and position signals can provide useful information for monitoring the EMAs; in the end, assesses and forecasts the health status, the failure time, remaining life of the components and system, through the fast Fourier transform algorithm and intelligent fuzzy logic model(FLM).
AB - For a more critical use in commercial aircraft, the Electromechanical Actuators (EMAs) technology must prove to be the same level of safety and reliability as systems based on Electrohydrostatic Actuators (EHA) and Hydraulics Actuators (HAs).The use of a Prognostic and Health Monitoring (PHM) is an additional way to secure the jamming free approach for EMA in flight control system and is becoming recognized as an efficient strategy for increasing reliability and improving maintenance of EMAs in this area. Firstly, does a detailed analysis of the multi-EMA system, and builds the fault tree of system, considering the three aspects of the control unit, electrical equipment and mechanical equipment; secondly, monitors the real state of the EMAs, relying on already existing sensors and signals, such as motor currents, temperature sensor and position sensors, according to the presented results, the current and position signals can provide useful information for monitoring the EMAs; in the end, assesses and forecasts the health status, the failure time, remaining life of the components and system, through the fast Fourier transform algorithm and intelligent fuzzy logic model(FLM).
KW - Electromechanical actuators(EMAs)
KW - Maintenance
KW - Prognostic and health monitoring(PHM)
KW - Reliability
KW - Screw
KW - Wear
UR - https://www.scopus.com/pages/publications/84910673306
M3 - 会议稿件
AN - SCOPUS:84910673306
T3 - 29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014
BT - 29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014
PB - International Council of the Aeronautical Sciences
T2 - 29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014
Y2 - 7 September 2014 through 12 September 2014
ER -