28 Papers
80 Citations
Feng Lu is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Kalman filter & Computer science. The author has an hindex of 9, co-authored 28 publications. Previous affiliations of Feng Lu include Aviation Industry Corporation of China.
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Papers
Aircraft engine degradation prognostics based on logistic regression and novel OS-ELM algorithm
TL;DR: An enhanced multi-sensor prognostic model based on KFOS-ELM and logistic regression (LR) model is designed for remaining useful life (RUL) prediction of aircraft engine.
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A novel distributed extended Kalman filter for aircraft engine gas-path health estimation with sensor fusion uncertainty
TL;DR: A novel EKF algorithm for state estimation in the distributed framework with sensor fusion uncertainty is proposed, and it achieves better trade-off between the estimation accuracy and computational efforts.
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Nonlinear Kalman filters for aircraft engine gas path health estimation with measurement uncertainty
TL;DR: Simulations involving abrupt fault and degradation datasets of aircraft engines were carried out to numerically evaluate and compare the performance of the improved nonlinear KFs with their existing KFs in the context of health estimation with time delay and packet dropout.
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In-flight adaptive modeling using polynomial LPV approach for turbofan engine dynamic behavior
TL;DR: In this article, a new lifecycle real-time model to describe turbofan engine dynamic behavior called Adaptive Linear Parameter Varying Model (ALPVM) is proposed, and the issues of engine/model mismatch compensation and performance degradation adaptation are focused on.
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An improved multivariable generalized predictive control algorithm for direct performance control of gas turbine engine
TL;DR: An improved control algorithm for direct performance control of the gas turbine engine is proposed to realize the on-line estimation and tracking of the performance parameters and the limited outputs within the safe range, whether there is any fault or not.
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