Bearing Diagnostics Based on Pattern Recognition of Statistical Parameters
By F. Xi, Qiao Sun, G. Krishnappa. 2000
62 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/cca12b0fc38fb6ccd0621a4f044db7ac659c19bc
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In Control and Systems Engineering
In Electrical and Electronic Engineering
In Mechanical Engineering
Citations in the corpus
- Bearing performance degradation assessment using locality preserving projections (2011, methodology): “Time domain methods usually involve statistical features that are sensitive to impulsive oscillation, such as root mean square (RMS), kurtosis, skewness, crest factor, and peak–peak (P–P), impulse factor, and margin factor (Ocak & Oparo, 2004; Xi et al., 2000).”