Induction motor is a major component in the industrial sector. It is experiencing great
development concerning size, market share, and technological design. Any sudden failure …

Electric motors act as the backbone of industrial development. Their reliable and safe
operation is essential to various industries. At present, motor fault diagnosis based on …

Effective detection of fault in rolling bearings with a limited amount of data is essential for the
safe operation of electric machines. This article proposes a novel meta-learning-enabled …

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

The induction motor is the most popular motor in energy conversion and industrial drive
systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical …

This paper presents a novel approach on motor current signature analysis (MCSA) for
broken bar fault detection of induction motors (IMs), using as input the current signal …

Transient-based methods for fault diagnosis of induction machines (IMs) are attracting a
rising interest, due to their reliability and ability to adapt to a wide range of IM's working …

This paper presents an effective method of motor current signature analysis for detecting half-
as well as full broken single rotor bar fault of a squirrel-cage induction machine under …

This paper proposes an adaptive denoising methodology for electrocardiogram (ECG)
signals that employs ensemble empirical mode decomposition (EEMD) and a genetic …

Traditional fault diagnosis methods are easy to be affected by different working conditions.
This article proposed a motor fault diagnosis method based on visual knowledge, to reduce …