Cyclic symplectic component decomposition with application in planetary gearbox fault diagnosis

Author:

Pan Haiyang,Xu Haifeng,Zheng Jinde,Liu Qingyun,Tong Jinyu

Funder

National Natural Science Foundation of China

University Natural Science Research Project of Anhui Province

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Bioengineering

Reference32 articles.

1. Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks;Shi;Mech. Syst. Signal Process.,2022

2. Variational nonlinear component decomposition for fault diagnosis of planetary gearboxes under variable speed conditions;Wei;Mech. Syst. Signal Process.,2022

3. Modified stacked auto-encoder using adaptive Morlet wavelet for intelligent fault diagnosis of rotating machinery;Shao; Min Xia; Jiafu Wan;IEEE/ASME Trans. Mechatron.,2021

4. An adaptive order-band energy ratio method for the fault diagnosis of planetary gearboxes;Zhang;Mech. Syst. Signal Process.,2022

5. Intelligent fault diagnosis of planetary gearbox based on refined composite hierarchical fuzzy entropy and random forest;Wei;ISA Trans.,2021

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