Robust rotating machinery diagnosis from Single-Source heterogeneous signals under imbalanced and noisy conditions

In practical industrial scenarios, rotating machinery fault diagnosis is often constrained by single-source measurements, where heterogeneous representations derived from the same sensor exhibit severe misalignment, strong noise interference, and highly imbalanced fault distributions. These coupled...

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Bibliografische Detailangaben

Hauptverfasser:	Keshun You, Yingkui Gu, Yanhui Lin, Haidong Shao, Yajun Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2026-07-01
Schriftenreihe:	Engineering Science and Technology, an International Journal
Schlagworte:	Rotating machinery fault diagnosis Selective multimodal fusion Single-source heterogeneous signals Non-stationary fault patterns Selective state-space mechanisms
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2215098626001205
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