Sparsity Enhanced Topological Fractal Decomposition for Smart Machinery Fault Diagnosis

Sparsity Enhanced Topological Fractal Decomposition for Smart Machinery Fault Diagnosis

Automatic fault feature extraction-based smart fault diagnosis is becoming more and more popular, as it does not require excessive expertise of on-site staff. Advanced signal processing techniques are of significant importance in order to ensure efficient and effective fault feature analysis. Multi-...

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Bibliographic Details
Main Authors: Xincheng Cao, Nianyin Zeng, Binqiang Chen, Wangpeng He
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Rotating machinery
fault diagnosis
topology fractal multi-resolution analysis (TFMRA)
sparse representation
rub-impact
Online Access:https://ieeexplore.ieee.org/document/8457205/

Internet

https://ieeexplore.ieee.org/document/8457205/

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