| Citation: | LI Lei, GAO Yongming, WU Zhihuanet al. Fault detection for flywheels based on chaotic attractor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(9): 1894-1902. doi: 10.13700/j.bh.1001-5965.2018.0037(in Chinese)
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Aimed at the problem that the early fault of the flywheel is difficult to detect and the precision mathematical model is difficult to be established, a fault detection method based on the characteristics of chaotic attractor is proposed. This method uses the auxiliary curved surface function and the system parameters to construct the discrete dynamical system. The approximate chaotic attractors obtained from normal data through iteration are different with the ones obtained from fault data. The difference could be used as feature for fault detection. The simulation results show that the discrete dynamical system constructed by this method can generate the chaotic attractor stably. The chaotic attractor is independent of the initial iteration point. The same faults under different working conditions have the same characteristics. The chaotic attractor feature is sensitive to small fault.
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