2 天前 - … To address these issues, this study introduces a novel fault diagnosis model called
… , enhancing the detection and analysis of bearing faults in industrial machinery. This model …

6 天前 - … Equipment barriers highlight the inadequacy of ultrasound machines, resulting from
both a shortage of equipment and insufficient funding for their acquisition and maintenance. …

6 天前 - … Obtaining such an amount of data can be challenging when dealing with machines
or … The present document proposes a novel data augmentation and visualization technique …

9 天前 - … fault diagnosis of rolling bearings in rotating machinery is … The goal of bearing
fault diagnosis is to systematically … by such simple data augmentation leads the diagnostic …

9 天前 - … data augmentation techniques: data augmentation, sampling, and imputation. Data
augmentation … array of domains, including machinery fault diagnosis, computer vision, and …

12 天前 - … rotating equipment fault diagnosis. … fault diagnosis of bearings. Drawing on the
typical methods in existing contrastive learning research, this paper employs data augmentation …

14 天前 - … fault diagnosis in rotating machinery. The approach leverages attention mechanism
data fusion and mixup feature augmentation. … is used to perform data fusion in both channel …

16 天前 - … Furthermore, scholars in the field have summarized complex equipment fault
diagnosis technologies and developed specialized reviews in the respective domain. Special …

20 天前 - … across multiple facilities and equipment, this paper … CNN classification model for
better detection and distinction of … implementation initially uses data augmentation to enhance …

22 天前 - … By leveraging the fault data obtained from the damage diagnosis testbed of the …
plants by proactively addressing the replacement of equipment with a high likelihood of failure. …