A novel method for machine performance degradation assessment based on fixed cycle features test
By Linxia Liao, Jay H. Lee. 2009
100 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/d38a52c44e8d9fda49a69fe8c2d87c5e647f99c7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
In Control and Systems Engineering
- Noureddine Zerhouni
- Kamal Medjaher
- Said Rechak
- Tarak Benkedjouh
- Jianbo Yu
- Yaguo Lei
- Naipeng Li
- Ningbo Li
In Industrial and Manufacturing Engineering
Citations in the corpus
- Bearing performance degradation assessment using locality preserving projections (2011, methodology): “Liao and Lee (2009) used PCA to extract features from the wavelet packet node energy generated from vibration signals of bearings, as the effective inputs of the bearing performance degradation assessment model.”
- Remaining useful life estimation based on nonlinear feature reduction and support vector regression (2013, methodology): “Thus, Liao and Lee [13] utilized the PCA to extract features by using wavelet packet decomposition (WPD) on vibration signals of bearings.”