Generation of high-dimensional vibration signal and its application in fault diagnosis
Zhijun Ren,
Dawei Gao,
Yongsheng Zhu
et al.
Abstract:Imperfect data, such as data scarcity and imbalance, have a negative impact on intelligent fault diagnosis. Generative adversarial networks (GANs) have proven to be a potential method for augmenting data. However, the overall quality of data generated by GANs still requires improvement. In this study, a multiscale feature-fusion GAN was proposed for generating high-dimensional signals. A strategy that generates signals with dimensionality higher than the desired dimensionality was proposed. The generated signa… Show more
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