There is an increasing interest in improving energy efficiency and reducing operational costs
of induction motors in the industry. These costs can be significantly reduced, and the …

Condition monitoring in electric motor drives is essential for operation continuity. This article
provides a review of fault detection and diagnosis (FDD) methods for electric motor drives. It …

Deep learning (DL) architecture, which exploits multiple hidden layers to learn hierarchical
representations automatically from massive input data, presents a promising tool for …

Deep neural networks present very competitive results in mechanical fault diagnosis.
However, training deep models require high computing power while the performance of …

Stator/rotor winding faults are the common faults in squirrel-cage induction motor systems,
which motivates the study of incipient fault detection and isolation (IFDI) to improve the …

This research puts forward a novel approach by proposing mathematical equations to
estimate the fault intensity index in induction motor with stator inter-turn short circuit (ITSC) …

Induction motors are widely used in industrial plants for critical operations. Stator faults,
bearing faults, or rotor faults can lead to unplanned downtime with associated cost and …

The importance of induction motor (IM) drives in industrial applications, especially in the
renewable energy sector is unarguable due to their fast-dynamic response. Their monitoring …

Vitoria-Gasteiz has taken several urban greening actions such as the introduction of a ring of
parks that connect the city's surroundings, a sustainable mobility plan, and urban green …

Predictive maintenance (PdM) for smart manufacturing and Industry 4.0 has been
associated with manufacturing intelligence supported by Artificial Intelligence (AI) …