Electronics Optics & Control, Volume. 25, Issue 8, 93(2018)

Fault Diagnosis of Aircraft Actuator System Based on EEMD and Multi-Class SVM

XAIO Dong, JIANG Ju, YU Chaohui, and ZHOU Jun
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    References(3)

    [10] [10] WU Z H, HUANG N E. Ensemble empirical mode decomposition:a noise assisted data analysis method[J].Advances in Adaptive Data Analysis, 2008, 1(1):1-41.

    [11] [11] SHIBUYA N, NUKALA B T, RODRIGUEZ A I, et al.A real-time fall detection system using a wearable gait analysis sensor and a Support Vector Machine(SVM) classifier[C]//The 8th International Conference on Mobile Computing and Ubiquitous Networking(ICMU), 2015:66-67.

    [12] [12] HANG J, ZHANG J Z, CHENG M.Application of multi-class fuzzy support vector machine classifier for fault diagnosis of wind turbine[J].Fuzzy Sets and Systems, 2016, 297(C):128-140.

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    XAIO Dong, JIANG Ju, YU Chaohui, ZHOU Jun. Fault Diagnosis of Aircraft Actuator System Based on EEMD and Multi-Class SVM[J]. Electronics Optics & Control, 2018, 25(8): 93

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    Paper Information

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    Received: Sep. 12, 2017

    Accepted: --

    Published Online: Jan. 19, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.08.019

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