Bearing Life Prediction With Informed Hyperprior Distribution: A Bayesian Hierarchical and Machine Learning Approach
A Bayesian hierarchical model (BHM) is developed to predict bearing life using envelope acceleration data in combination with a degradation model and prior knowledge of the bearing rating life. The BHM enables the inference of individual bearings, groups of bearings, or bearings operating under cert...
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Autores principales: | Madhav Mishra, Jesper Martinsson, Kai Goebel, Matti Rantatalo |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/6678dc6b3aac467d8f4ceba4f3ac484d |
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