Composite Fault Signal Detection Method of Electromechanical Equipment Based on Empirical Mode Decomposition

Author:

Fu Guolong,Yin Jintian,Wu Shengyi,Liu Li,Peng Zhihua

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Zhao, Y.-B.: Research on multi-sensor fusion multi-fault signal monitoring of Marine turbine equipment. Ship Sci. Technol. 44(17), 114–117 (2022)

2. Huang, W., Li, S., Mao, L., et al.: Research on multi-source sparse optimization method and its application in compound fault detection of gearbox. J. Mech. Eng. 57(07), 87–99 (2021)

3. Wang, H., Wang, M., Song, L., et al.: Method of compound fault signal separation using double constraints non-negative matrix factorization. J. Vibr. Eng. 33(03), 590–596 (2020)

4. Lian, J., Fang, S., Zhou, Y.F.: Model predictive control of the fuel cell cathode system based on state quantity estimation. Comput. Simul. 37(07), 119–122 (2020)

5. Xiao, Y., Shen, Y., Yang, F., et al.: Fault state variables integral based open-circuit fault detection for power unit of cascaded h-bridge converter. Power Syst. Technol. 45(11), 4213–4225 (2021)

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