The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

The fault detection of electrical or mechanical anomalies in induction motors has been a
challenging problem for researchers over decades to ensure the safety and economic …

This work is a review of current trends in the stray flux signal processing techniques applied
to the diagnosis of electrical machines. Initially, a review of the most commonly used …

Induction motors are widely used in various industrial applications due to their simplicity,
robustness, and high efficiency. In recent years, deep learning approaches have shown …

Anomaly detection in sentiment analysis refers to detecting abnormal opinions, sentiment
patterns or special temporal aspects of such patterns in a collection of data. The anomalies …

Bearing related faults are one of the most common causes of failure in electrical machines.
By means of advanced diagnosis methods it is possible to detect these faults in their …

Squirrel Cage Induction Motor (SCIM) is largely prevalent machine which are in employment
for conversion of electrical energy into mechanical energy in an assorted nature of …

Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of
transportation. They function by converting electrical energy into mechanical energy using …

To cope with the flexibility and extensibility needed for the specification of the architecture of
evolving software systems, it is useful to have a set of primitive connectors from which new …

Induction motors are prevalent in many industrial applications due to their robustness,
efficiency, and reliability. They are used in various applications, such as pumps, fans …