Prognostics of rolling element bearing mandates detecting bearing defect signatures as early as possible, so that corresponding maintenance can be scheduled and catastrophic machine breakdown can be avoided. Defects can occur in any of the bearing parts, inner and outer race, cage and rolling elements. It is possible to identify the defective component of the bearing based on the specific vibration frequencies that are excited. However, the pattern of vibration ...
This paper describes how the fusion of two different prognostic approaches produces a result that is more accurate and has more narrow uncertainty bounds than either approach alone. The fused prognostic estimate can be calculated by using both a physics-based as well as a data-driven approach. The individual approaches can have a plurality of input sources such as component properties (e.g., material properties and usage properties), history of the component ...
Two fundamentally different approaches can be employed to estimate remaining life in faulted components. One is to model from first principles the physics of fault initiation and propagation. Such a model must include detailed knowledge of material properties, thermodynamic and mechanical response to loading, and the mechanisms for damage creation and growth. Alternatively, an empirical model of condition-based fault propagation rate can be developed using data from experiments in which ...
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