A rolling bearing vibration signal fault feature enhancement method based on adaptive
complete ensemble empirical mode decomposition with adaptive noise algorithm …

Bearing failures often result from compound faults, where the characteristics of these
compound faults span across multiple domains. To tackle the challenge of extracting …

Nowadays, the increasing use of electrical machines and devices in more critical
applications has driven the research in condition monitoring and fault tolerance. Condition …

The main barrier impeding the advancement of high-speed milling is chatter, which has a
detrimental effect on the dimensional accuracy and quality of the finished workpiece. A …

In industrial applications, rotating machines operate under real-time variable speed and
load regimes. In the presence of faults, the degradation of critical components is accelerated …

Effective detection of bearing faults in induction motors is crucial for ensuring optimal
performance and preventing costly breakdowns in industrial systems. This paper presents a …

The significance of induction motors has been greatly heightened due to the rapid
advancements in modern industrial production. Therefore, a fault diagnosis based on …

The growing importance of induction motor is attributed to the rapid progress in modern
manufacturing. Consequently, a faults diagnosis of rotating machinery using vibration …

The detection of faults in induction machines (IMs) is crucial for maintaining their optimal
performance and extending their lifespan. Bearing faults, in particular, can have a significant …

Le secteur industriel moderne dépend fortement d'équipements sophistiqués pour assurer
la production de biens et services de haute qualité. L'un des composants cruciaux de cet …