DBO-VMD optimization method parameters.

<div><p>Motor rolling bearing is a fundamental component of industrial production, and its vibration signal extraction and fault diagnosis are challenging because of the effect of operating characteristics and external noise. This research initially proposes an adaptive variational mode...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xianlin Ren (22783589) (author)
مؤلفون آخرون:	Haowen Li (4479226) (author), Laixian Chen (22783592) (author), Siyao Xiong (22783595) (author), Zhengwen Li (685587) (author)
منشور في:	2025
الموضوعات:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified vibration signal extraction stacked denoising auto sine cosine algorithm research initially proposes high prediction accuracy finish feature extraction create feature vectors cauchy chaotic mutation enhanced inertia weights fault diagnosis model noise resistance compared fault diagnosis enhanced vmd strong noise external noise tanimoto coefficient stronger adaptability permutation entropy operating characteristics industrial production fundamental component fitness function extract signals experimental results encoders network comprehensively evaluate
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DBO-VMD optimization method parameters.

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