Induction motors are widely used worldwide for domestic and industrial applications. Fault
detection and classification techniques based on signal analysis have increased in …

As the key issue of equipment operation and maintenance, fault diagnosis has attracted
extensive attention, in which deep learning is often applied to the construction of fault …

Recently, incremental learning (IL) has been widely used in intelligent fault diagnosis of
electronic machinery. Most of the typical IL methods have adopted the exemplar-replay …

Traditional Neural Networks (NNs) trained in a one-stage process often struggle to perform
well when presented with new classes or domain shifts in testing datasets. In fault diagnosis …

Abstract The Fourth Industrial Revolution, also known as Industry 4.0, is built on a variety of
technologies, including Artificial Intelligence, the Internet of Things, Cloud Computing …

Na indústria alimentícia, a inspeção manual sempre foi parte integrante do monitoramento e
controle de qualidade. Além de tedioso e lento, esse processo tem alto custo associado a …

Predictive maintenance (PdM) is a cost-cutting method that involves avoiding breakdowns
and production losses. Deep learning (DL) algorithms can be used for defect prediction and …