Highly Accurate Gear Fault Diagnosis Based on Support Vector Machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00768-6.pdf
Reference55 articles.
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2. Li B, Zhang PL, Wang ZJ, Mi SS, Liu DS (2011) Application of S transform and morphological pattern spectrum for gear fault diagnosis. Proc Inst Mech Eng Part C J Mech Eng Sci 225(12):2963–2972. https://doi.org/10.1177/0954406211408781
3. Hartono D, Halim D, Roberts GW (2019) Gear fault diagnosis using the general linear chirplet transform with vibration and acoustic measurements. J Low Freq Noise Vib Act Control 38(1):36–52. https://doi.org/10.1177/1461348418811717
4. Tao Y, Wang X, Sanchez RV, Yang S, Bai Y (2019) Spur gear fault diagnosis using a multilayer gated recurrent unit approach with vibration signal. IEEE Access 7:56880–56889. https://doi.org/10.1109/ACCESS.2019.2914181
5. Li H, Zhang Y, Zheng H (2009) Gear fault detection and diagnosis under speed-up condition based on order cepstrum and radial basis function neural network. J Mech Sci Technol 23(10):2780–2789. https://doi.org/10.1007/s12206-009-0730-8
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