Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach
Abstract
:1. Introduction
2. Augmented Huber Non-Convex Penalty Regularization
2.1. Sparse Representation
2.2. The Augmented Huber Non-Convex Penalty Regularization
2.3. Convexity Condition
Algorithm 1 Iterative algorithm for the proposed AHNPR method |
Initialization: ,, ; |
For ; |
end return: |
3. Numerical Simulation
4. Experimental Verification
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Bearing Type | Fault Type | Number of Balls | Inner Diameter | Outer Diameter | Fault Frequency |
---|---|---|---|---|---|
FAG-32212-A | Outer race | 9 | 60 mm | 110 mm | 118.8 Hz |
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Li, Q.; Liang, S.Y. Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach. Algorithms 2018, 11, 184. https://doi.org/10.3390/a11110184
Li Q, Liang SY. Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach. Algorithms. 2018; 11(11):184. https://doi.org/10.3390/a11110184
Chicago/Turabian StyleLi, Qing, and Steven Y. Liang. 2018. "Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach" Algorithms 11, no. 11: 184. https://doi.org/10.3390/a11110184