IEEE

Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation

Abstract: Bearings are broadly applied in various types of industrial systems. Fault diagnosis, as a promising way for reliability of modern industrial internet of thing applications, has attracted ...
IEEE

Domain Adaptation With Joint Distribution Alignment Adversarial Learning for Open-Set Bearing Intelligent Fault Diagnosis

Abstract: As a key component indispensable to the normal operation of rotating machinery, the fault diagnosis of rolling bearings is beneficial to ensure the normal operation of industrial production.
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Shop-made tools: A custom bearing puller

See how a custom bearing puller is designed and built using simple shop tools. This practical approach shows problem-solving in action and highlights when making your own tool makes sense. Could this ...