Weak Feature Extraction of Local Gear Damage Based on Underdamped Asymmetric Periodic Potential Stochastic Resonance

The enhancement of the detection of weak signals against a strong noise background is a key problem in local gear fault diagnosis. Because the periodic impact signal generated by local gear damage is often modulated by high-frequency components, fault information is submerged in its envelope signal...

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Detalles Bibliográficos
Autores principales:	Bingbing Hu, Shuai Zhang, Ming Peng, Jie Liu, Shanhui Liu, Chunlin Zhang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	stochastic resonance underdamped asymmetric periodic potential local gear damage weak feature extraction Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/a7d8513a792943eaab51a230b13ceec6
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Weak Feature Extraction of Local Gear Damage Based on Underdamped Asymmetric Periodic Potential Stochastic Resonance

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