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MATLABÈ°¿ë ¿Â¶óÀÎ »ó OBEM ¾÷µ¥ÀÌÆ® ¹æ¹ýÀ» ÅëÇÑ Ç×°ø±â ¿£Áø ¼¾¼­ °íÀå Áø´Ü
MATLABÈ°¿ë ¿Â¶óÀÎ »ó OBEM ¾÷µ¥ÀÌÆ® ¹æ¹ýÀ» ÅëÇÑ Ç×°ø±â ¿£Áø ¼¾¼­ °íÀå Áø´Ü
  • ÀúÀÚXiaofeng Liu, Naiyu Xue, Ye Yuan Àú
  • ÃâÆÇ»ç¾ÆÁø
  • ÃâÆÇÀÏ2020-07-14
  • µî·ÏÀÏ2020-12-21
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This paper proposed a method to update the on-line health reference baseline of the On-Board Engine Model (OBEM) to maintain the effectiveness of an in-flight aircraft sensor Fault Detection and Isolation (FDI) system, in which a Hybrid Kalman Filter (HKF) was incorporated. Generated from a rapid in-flight engine degradation, a large health condition mismatch between the engine and the OBEM can corrupt the performance of the FDI. Therefore, it is necessary to update the OBEM online when a rapid degradation occurs, but the FDI system will lose estimation accuracy if the estimation and update are running simultaneously. To solve this problem, the health reference baseline for a nonlinear OBEM was updated using the proposed channel controller method. Simulations based on the turbojet engine Linear-Parameter Varying (LPV) model demonstrated the effectiveness of the proposed FDI system in the presence of substantial degradation, and the channel controller can ensure that the update process finishes without interference from a single sensor fault.

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Aircraft engine sensor fault diagnostics using an on-line OBEM update method

1. Introduction 51
2. Improved sensor fdi system based on updating the obem          on-line 52
3. Design of a logic channel controller for an on-line update to     the OBEM 57
4. Simulation results 60
5. Conclusions 70
6. Author Contributions 71
7. References 72

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