Abstract:For high reliability equipment and newly designed products, it is difficult to accurately evaluate the equipment status because almost no failure data will be generated during testing or using period. At present, the analysis of zero fault data mainly focuses on reliability estimation and unsupervised fault detection, and there is little research on the safe operation state of equipment to evaluate whether the equipment is in normal state. In this paper, we propose an equipment state evaluation method based on… Show more
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