TY - GEN
T1 - PHM for air craft power supply generators using real-time frequency estimation based on 3-line DFT
AU - Siddiqui, Aamir Akhtar
AU - Yuan, Haibin
AU - Yang, Qinghua
AU - Yuan, Haiwen
PY - 2011
Y1 - 2011
N2 - With the advancement of technology and incorporation of sophisticated systems in the aircrafts, the modern aircrafts are highly dependent on the reliable electrical power systems. Prognostic and Health Management (PHM) is the evolving field for fault diagnosis, failure prevention and cost cutting maintenance. In this paper, a real-time frequency estimation algorithm based on 3-line Discrete Fourier transform (DFT) is presented for variable frequency measurement in aircraft power system to monitor the health state of the frequency generated. The signal is firstly weighed by means of Hanning window, and the spectrum amplitude in main lobe area is calculated according to DFT. The numerical value relation between fundamental frequency and 3-spectrum amplitude is then derived, performing long-range frequency estimation after iterative calculation of initial value. The number of samples is determined with no main lobe spectrum leakage; the spectrum amplitude is extracted in rotating reference frame to effectively reduce the computation effort. The proposed technique can simultaneously track the frequency with fast step respond and high steady-state accuracy. In the end, based on this measurement it is suggested to develop a PHM model on this OCM.
AB - With the advancement of technology and incorporation of sophisticated systems in the aircrafts, the modern aircrafts are highly dependent on the reliable electrical power systems. Prognostic and Health Management (PHM) is the evolving field for fault diagnosis, failure prevention and cost cutting maintenance. In this paper, a real-time frequency estimation algorithm based on 3-line Discrete Fourier transform (DFT) is presented for variable frequency measurement in aircraft power system to monitor the health state of the frequency generated. The signal is firstly weighed by means of Hanning window, and the spectrum amplitude in main lobe area is calculated according to DFT. The numerical value relation between fundamental frequency and 3-spectrum amplitude is then derived, performing long-range frequency estimation after iterative calculation of initial value. The number of samples is determined with no main lobe spectrum leakage; the spectrum amplitude is extracted in rotating reference frame to effectively reduce the computation effort. The proposed technique can simultaneously track the frequency with fast step respond and high steady-state accuracy. In the end, based on this measurement it is suggested to develop a PHM model on this OCM.
KW - PHM
KW - frequency estimation
UR - https://www.scopus.com/pages/publications/80052228205
U2 - 10.1109/ICIEA.2011.5976022
DO - 10.1109/ICIEA.2011.5976022
M3 - 会议稿件
AN - SCOPUS:80052228205
SN - 9781424487554
T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
SP - 2548
EP - 2551
BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Y2 - 21 June 2011 through 23 June 2011
ER -