Remaining useful life prediction of gears: An IAPO-MHA-HyVAE-based approach

Journal of Mechanical Science and Technology 2026

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Authors: Xiangmin Chen, Y. T. Li, Hanlin Lei, Kang Zhang, Shilong Hu, Yang Su
DOI: 10.1007/s12206-025-1213-2
Cited by: 1
References: 25

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Gear and Bearing Dynamics Analysis Metallurgy and Material Forming

Publication details

Journal / source
Journal of Mechanical Science and Technology
Publisher
Springer Science and Business Media LLC
Volume
40
Issue
1
Pages
173–182
Publication date
1 January 2026
Language
EN