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On-line prediction remaining useful life for ball bearings via grey NARX
2019
Journal of Vibroengineering
The Huge vibration data are generated continuously by many sensors in daily high-speed rotating machinery operations. Accurate online prediction based on big vibration data streaming can reduce the risks related to failures and avoid service disruptions. This paper presents a hybrid nonlinear autoregressive network with exogenous inputs (NARX) model to forecast the remaining useful life of ball bearings through health index based on big vibration data streaming. This approach is validated by a
doi:10.21595/jve.2018.20120
fatcat:lqh7rr2h6nfkbbfv5vseadm6l4