9 Papers
65 Citations
Y. Li is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Bearing (mechanical) & Prognostics. The author has an hindex of 9, co-authored 9 publications.
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Papers
Bearing condition diagnostics via vibration and acoustic emission measurements
TL;DR: In this article, the authors investigated defect detection methods for rolling element bearings through sensor signature analysis, specifically the use of a new signal processing combination of the high-frequency resonance technique and adaptive line enhancer.
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Adaptive Prognostics for Rolling Element Bearing Condition
TL;DR: In this paper, a remaining life adaptation methodology based on mechanistic modeling and parameter tuning is proposed to estimate defect severity by monitoring the signals generated from rotating bearings and an adaptive algorithm is developed to fine tune the parameters involved in the propagation model by comparing predicted and measured defect sizes.
259
Stochastic prognostics for rolling element bearings
TL;DR: In this article, a stochastic defect propagation model is established by instituting a lognormal random variable in a deterministic defect propagation rate model, which is calibrated on-line by a recursive least squares (RLS) approach without the requirement of a priori knowledge on bearing characteristics.
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Dynamic Prognostic Prediction of Defect Propagation on Rolling Element Bearings
TL;DR: In this paper, the remaining life of a bearing is forecast in a prognostic rather than diagnostic manner, so that maintenance can be optimally scheduled so that the bearing's remaining life can be more precisely forecasted.
87
Force Modelling for Cylindrical Plunge Cutting
TL;DR: In this article, the authors developed an analytical model for the cutting forces in multiblade plunge cutting of cylindrical parts, using the relationship between the instantaneous chip area and the local cutting forces at each individual blade to formulate the total resultant forces via kinematic integration along the cutting edges.
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