Mohd Salman Leong's research while affiliated with Universiti Teknologi Malaysia and other places

Publications (2)

Article
PurposeDeep Neural Networks (DNNs) typically require enormous labeled training samples to achieve optimum performance. Therefore, numerous forms of data augmentation techniques are employed to compensate for the lack of training samples.Methods In this paper, a data augmentation technique named ensemble augmentation is proposed to generate real-lik...
Article
Full-text available
Rotating machinery is one of the major components of industries that suffer from various faults due to the constant workload. Therefore, a fast and reliable fault diagnosis method is essential for machine condition monitoring. In this study, noise eliminated ensemble empirical mode decomposition (NEEEMD) was used for fault feature extraction. A con...

Citations

... The data used in this research is related to the bearing housing temperature of an electric motor. Several research identified bearing housings as critical points for data collection in PrM systems [11,10,12,31,16]. In most application the drive system is a key point for PrMand the evolution of bearing temperature (along with vibration) is generally monitored and used as a reliable information regarding system health and performance. ...