Diagnosis accuracy of models after adding noise.

<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...

Full description

Saved in:

Bibliographic Details
Main Author:	Xianlin Ren (22783589) (author)
Other Authors:	Haowen Li (4479226) (author), Laixian Chen (22783592) (author), Siyao Xiong (22783595) (author), Zhengwen Li (685587) (author)
Published:	2025
Subjects:	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
Tags:	Add Tag No Tags, Be the first to tag this record!

Diagnosis accuracy of models after adding noise.

Similar Items