… purpose of fault diagnosis is to study the projection of highdimensional spatial features to …
signal data to pinpoint various faults that occur during equipment production and to identify …

Despite the advance of intelligent fault diagnosis for rolling bearings, in industries, data-driven
methods still suffer from data acquisition and imbalance. We propose an enhanced few-…

… number of rotating machinery fault samples and low fault diagnosis accuracy. To solve this
problem, this paper introduces a novel approach to machinery fault diagnosis. This approach …

… can increase the fault diagnosis accuracy from 83.26 % to … be set as a data augmentation
tool for the fault diagnosis of wind … data augmentation and fault diagnosis of rotating machinery …

… A self-supervised learning scheme is further proposed for learning the structural information
from the limited training data, which offers both data augmentation and multi-task learning …

… problem, we propose a data augmentation method named Multi-Stage Distribution Correction
(MSDC) for few-shot fault diagnosis. … failure, timely machinery health monitoring and fault …

… Compared to the original motivation of the Dirichlet distribution-based data augmentation …
for rotating machinery fault diagnosis problems. First, we perform multisource augmentation at …

… generated samples from data augmentation, the unsupervised data are collected … data-driven
fault diagnosis methods are expected to benefit from the exploitation of unsupervised data…

… mentioned above, a new fault diagnosis method based on data augment is proposed. First …
to gradually augment the imbalanced dataset until it balances. At last, a fault diagnosis model …

… However, traditional data augmentation methods experience difficulty in … for machinery
fault diagnosis. This method can extract features that are conducive to fault diagnosis from data …