Article

Data-Scarce Compound Fault Diagnosis in Rotating Machinery Using Multi-Sensor Spectral Fusion and CycleGAN-Based Data Augmentation

2026-04-24

Abstract excerpt

<title>Abstract</title> <p>Compound fault diagnosis in rotating machinery is challenging due to interactions among multiple components and the limited availability of labeled data. These challenges are further amplified under data imbalance conditions commonly encountered in practical manufacturing environments. To address this issue, this study proposes a data-driven framework that combines multi-sensor spectral...

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Literature Corpus work: b65753f4-cb32-54f6-8ac0-0cb56313d1b5
DOI: 10.21203/rs.3.rs-9410125/v1

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Data-Scarce Compound Fault Diagnosis in Rotating Machinery Using Multi-Sensor Spectral Fusion and CycleGAN-Based Data AugmentationDOI 10.21203/rs.3.rs-9410125/v1Read

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