Fault Diagnosis in Bevel Gearbox Using Coiflet Wavelet and Fault Classification Based on ANN Including DNN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-06767-9.pdf
Reference42 articles.
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2. Hartono, D.; Halim, D.; Widodo, A.; Roberts, G.: Bevel gearbox fault diagnosis using vibration measurements. MATEC Web Confer. 59(06002), 5 (2016). https://doi.org/10.1051/matecconf/20165906002
3. Narendiranath Babu, T.; Himamshu, H.S.; Prabin Kumar, N.; Rama Prabha, D.; Nishant, C.: Journal bearing fault detection based on Daubechies wavelet. Arch. Acoust. 42(3), 401–414 (2017). https://doi.org/10.1515/aoa-2017-0042
4. Sharma, S.; Tiwari S.K., Singh S.: Diagnosis of gear tooth fault in a bevel gearbox using discrete wavelet transform and autoregressive modeling. Life Cycle Reliab. Saf. Eng. 8(1), 21–32 (2019). https://doi.org/10.1007/s41872-018-0061-9
5. Huang, W.; Kong, F.; Zhao, X.: Spur bevel gearbox fault diagnosis using wavelet packet transform and rough set theory. J. Intell. Manuf. 29(1), 1257–1271 (2018). https://doi.org/10.1007/s10845-015-1174-x
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