Ensemble deep transfer learning driven by multisensor signals for the fault diagnosis of bevel-gear cross-operation conditions
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Engineering,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11431-020-1679-x.pdf
Reference50 articles.
1. Saravanan N, Cholairajan S, Ramachandran K I. Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique. Expert Syst Appl, 2009, 36: 3119–3135
2. Buzzoni M, D’Elia G, Mucchi E, et al. A vibration-based method for contact pattern assessment in straight bevel gears. Mech Syst Signal Pr, 2019, 120: 693–707
3. Jedliński Ł, Jonak J. A disassembly-free method for evaluation of spiral bevel gear assembly. Mech Syst Signal Pr, 2017, 88: 399–412
4. Lafi W, Djemal F, Tounsi D, et al. Dynamic modelling of differential bevel gear system in the presence of a defect. Mech Mach Theory, 2019, 139: 81–108
5. Lei Y, Yang B, Jiang X, et al. Applications of machine learning to machine fault diagnosis: A review and roadmap. Mech Syst Signal Pr, 2020, 138: 106587
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