This paper presents a high accuracy detection of Broken Rotor Bar (BRB) fault by Artificial
Neural Network (ANN) through advanced signal processing tool as Hilbert Transform (HT) …

The DL (Deep Learning) method is the standard for forecasting tourist arrivals. This method
provides very good forecasting results but needs improvement if the data is small. Statistical …

In order to avoid catastrophic accidents, it is necessary to detect the stator interturn fault at
the very early stage. However, the complex operating conditions of traction motors of urban …

This paper presents a diagnosis study to detect the Broken Rotor Bars (BRBs) and the stator
inter-turn short circuit faults of three-phase Squirrel Cage Induction Motor (SCIM). Condition …

This paper shows an alternative method to electrical fault diagnosis in three-phase induction
motors using reference signal injection. The proposal is based on the insertion of search …

Purpose The purpose of this study aims to focus on the detection and identification of the
broken rotor bars (BRBs) of a squirrel cage induction motor (SCIM). The presented …

Preventing induction motors (IMs) from failure and shut down is important to maintain
functionality of many critical loads in industry and commerce. This paper provides a …

Wound rotor induction machine (WRIM) has been extensively used in different applications
such as medium-power wind turbines and traction systems. Since these machines work …

Induction machines (IMs) faults diagnosis is of significance to enhance the reliability and
security of the industrial productions. In recent years, the faults detection and diagnosis of …

The purpose of the current study is to detect the squirrel cage induction machine under the
Broken Rotor Bars fault (BRBs). In this context, most of the studies were starting by using the …