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Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model

Wen, Juan ; Gao, Hongli ; Zhang, Jiangquan Maia, Nuno M. ; Nuno M Maia

Shock and vibration, 2018-01, Vol.2018, p.1-13 [Periódico revisado por pares]

Cairo: Hindawi

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Título:
Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model
Autor: Wen, Juan ; Gao, Hongli ; Zhang, Jiangquan
Maia, Nuno M. ; Nuno M Maia
Assuntos: Algorithms ; Bearings ; Component reliability ; Degradation ; Fault diagnosis ; Filtration ; Life prediction ; Maintenance costs ; Mathematical models ; Mechanical systems ; Methods ; Physics ; Reliability aspects ; Service life ; Signal processing ; Stochastic models ; Uncertainty ; Useful life
É parte de: Shock and vibration, 2018-01, Vol.2018, p.1-13
Descrição: Prognostic is an essential part of condition-based maintenance, which can be employed to enhance the reliability and availability and reduce the maintenance cost of mechanical systems. This paper develops an improved remaining useful life (RUL) prediction method for bearings based on a nonlinear Wiener process model. First, the service life of bearings is divided into two stages in terms of the working condition. Then a new prognostic model is constructed to reflect the relationship between time and bearing health status. Besides, a variety of factors that cause uncertainties toward the degradation path are considered and appropriately managed to obtain reliable RUL prediction results. The particle filtering is utilized to estimate the degradation state, qualify the uncertainties, and predict the RUL. The experimental studies show that the proposed method has a better performance in RUL prediction and uncertainty management than the exponential model and the linear model.
Editor: Cairo: Hindawi
Idioma: Inglês

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Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model

Wen, Juan ; Gao, Hongli ; Zhang, Jiangquan Maia, Nuno M. ; Nuno M Maia

Cairo: Hindawi

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