… on real-time cross-domain fault diagnosis, where the testing data can not be obtained in …
domain generalization method for machinery fault diagnosis. A domain augmentation method is …

… Therefore in this paper, an event data augmentation method is proposed to increase the …
important roles in the proposed event data augmentation method, which are also investigated in …

… models for detecting the respective machinery fault states, compared to using only real-world
data. … synthetic data to support machine fault diagnosis and help to solve the imbalance …

… the diagnostics of electrical equipment. Therefore, a source domain is created with synthetic
data generated by the model-based data augmentation … monitoring for failure diagnosis. In …

… multisource data augmentation (MSDA) to mitigate the problem of skewed generated data
by … Li, “Machinery fault diagnosis with imbalanced data using deep generative adversarial …

… is proposed for data augmentation of fault diagnosis on … additional data with the same
distribution through learning the data … Artificial intelligence for fault diagnosis of rotating machinery: …

… problem, this paper develops a data augmentation method, namely empirical mode reconstruction
(EMR), to augment … (and other rotating and reciprocating machineries) can be roughly …

… fault diagnosis of rotating machinery, due to the accidental occurrence of equipment faults,
the proportion of fault samples is small, the samples are imbalanced, and available data are …

… To overcome the limitations of conventional FFT and other methods in fault diagnosis of
variable speed rotating machinery, scholars have developed the order analysis method, also …

… In the proposed framework, we are using GAN as a synthetic data generation module for
data augmentation purpose. It is more scaled, adaptive and nonlinear in nature compared to …