Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information
Enxiu Wang,
Haoxuan Zhou,
Guangrui Wen
et al.
Abstract:Bearing operation states will directly determine the performance of the equipment; thus, monitoring operation status and degradation indicators is the key to ensuring continuous and healthy operation of the equipment. However, most of the research uses single-source information data, which makes it difficult to model when dealing with multi-source information, complex data distribution, and noise. In this paper, a bearing performance degradation assessment method based on multi-source information is proposed t… Show more
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