TY - CONF
T1 - Fault diagnosis of the speed sensor of electromechanical transmission of the high speed rotorcraft
AU - Ma, Yue
AU - Lin, Lu
AU - Wang, Yu
N1 - Publisher Copyright:
© 2018 IET Conference Publications. All rights reserved.
PY - 2018
Y1 - 2018
N2 - The speed sensor of the electro-mechanical transmission is the easiest to have fault, if the speed sensor breaks down, the control system of the electro-mechanical will be invalid. This paper presents a model-based method using unscented Kalman filter to diagnose the speed sensor fault First, the mathematical model of the system is established, subsequently, the unscented Kalman filter is used to estimate the state of measurements. Moreover, the residual errors of the estimated and measured values are obtained. According to the residual errors, the fault of the system will be diagnosed. The numerical simulations demonstrate that the model-base method can diagnose the speed sensor fault accurately and in time.
AB - The speed sensor of the electro-mechanical transmission is the easiest to have fault, if the speed sensor breaks down, the control system of the electro-mechanical will be invalid. This paper presents a model-based method using unscented Kalman filter to diagnose the speed sensor fault First, the mathematical model of the system is established, subsequently, the unscented Kalman filter is used to estimate the state of measurements. Moreover, the residual errors of the estimated and measured values are obtained. According to the residual errors, the fault of the system will be diagnosed. The numerical simulations demonstrate that the model-base method can diagnose the speed sensor fault accurately and in time.
KW - Electro-mechanical transmission
KW - Fault diagnosis
KW - Model-based method
KW - Speed sensor
KW - Unscented Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=85054683580&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85054683580
SP - 604
EP - 608
T2 - CSAA/IET International Conference on Aircraft Utility Systems, AUS 2018
Y2 - 19 June 2018 through 22 June 2018
ER -