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For costly and dangerous experiments, growing attention has been paid to the study of the performance and reliability of rolling bearings with poor information. The existing reliability theory relying on the classical statistical theory and Bayesian theory will become ineffective if the probability distribution is unknown. In view of this, the developments of studies on forecasting methods for the performance and reliability of rolling bearings with poor information are summarized in this article.

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