Rotating machinery fault diagnosis for imbalanced data based on decision tree and fast clustering algorithm
Author:
Publisher
JVE International Ltd.
Subject
Mechanical Engineering,General Materials Science
Link
http://www.jvejournals.com/Vibro/fulltextpdf/JVE-18373.pdf
Reference22 articles.
1. Jay J., Wu F. J., Zhao W. Y., et al. Prognostics and health management design for rotary machinery systems – reviews, methodology and applications. Mechanical Systems and Signal Processing, Vol. 42, Issues 1-2, 2014, p. 314-334.
2. Liu C., Jiang D. X. Crack modeling of rotating blades with cracked hexahedral finite element method. Mechanical Systems and Signal Processing, Vol. 46, Issue 2, 2014, p. 406-423.
3. Yan R. Q., Gao R. X., Chen X. F. Wavelets for fault diagnosis of rotary machines: a review with applications. Signal Processing, Vol. 96, 2014, p. 1-15.
4. Lei Y. G., Lin J., He Z. J., et al. A review on empirical mode decomposition in fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, Vol. 35, Issues 1-2, 2013, p. 108-126.
5. Liu C., Jiang D. X., Yang W. G. Global geometric similarity scheme for feature selection in fault diagnosis. Expert Systems with Applications, Vol. 41, Issue 8, 2014, p. 3585-3595.
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