Data-scarce compound fault diagnosis in rotating machinery using multi-sensor spectral fusion and CycleGAN-based data augmentation

The International Journal of Advanced Manufacturing Technology 2026

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Authors: Ayantha Senanayaka, Sungkwang Mun, Abdullah Al Mamun, Nayeon Lee
DOI: 10.1007/s00170-026-18532-5
Cited by: 1
References: 51

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Fault Detection and Control Systems Machine Learning and ELM

Publication details

Journal / source
The International Journal of Advanced Manufacturing Technology
Publisher
Springer Science and Business Media LLC
Volume
145
Issue
5-6
Pages
3731–3749
Publication date
25 June 2026
Language
EN