Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

P Gangsar, R Tiwari - Mechanical systems and signal processing, 2020 - Elsevier
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

Review on prognostics and health management in smart factory: From conventional to deep learning perspectives

P Kumar, I Raouf, HS Kim - Engineering Applications of Artificial …, 2023 - Elsevier
At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …

Predictive data mining techniques for fault diagnosis of electric equipment: A review

A Contreras-Valdes, JP Amezquita-Sanchez… - Applied Sciences, 2020 - mdpi.com
Data mining is a technological and scientific field that, over the years, has been gaining
more importance in many areas, attracting scientists, developers, and researchers around …

[HTML][HTML] Convolutional neural network and motor current signature analysis during the transient state for detection of broken rotor bars in induction motors

M Valtierra-Rodriguez, JR Rivera-Guillen… - Sensors, 2020 - mdpi.com
Although induction motors (IMs) are robust and reliable electrical machines, they can suffer
different faults due to usual operating conditions such as abrupt changes in the mechanical …

Incipient broken rotor bar detection in induction motors using vibration signals and the orthogonal matching pursuit algorithm

C Morales-Perez, J Rangel-Magdaleno… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
A methodology for automatic incipient broken rotor bar detection in induction motors (IMs) is
presented. Sparse representations of signals are applied as a diagnosis technique. The …

[HTML][HTML] Induction motor stator winding inter-tern short circuit fault detection based on start-up current envelope energy

L Chen, J Shen, G Xu, C Chi, Q Feng, Y Zhou, Y Deng… - Sensors, 2023 - mdpi.com
Inter-turn short circuit (ITSC) is a common fault in induction motors. However, it is
challenging to detect the early stage of ITSC fault. To address this issue, this paper proposes …

Automatic classification of rotor faults in soft-started induction motors, based on persistence spectrum and convolutional neural network applied to stray-flux signals

V Biot-Monterde, A Navarro-Navarro… - Sensors, 2022 - mdpi.com
Due to their robustness, versatility and performance, induction motors (IMs) have been
widely used in many industrial applications. Despite their characteristics, these machines …

System for tool-wear condition monitoring in cnc machines under variations of cutting parameter based on fusion stray flux-current processing

AY Jaen-Cuellar, RA Osornio-Ríos, M Trejo-Hernández… - Sensors, 2021 - mdpi.com
The computer numerical control (CNC) machine has recently taken a fundamental role in the
manufacturing industry, which is essential for the economic development of many countries …

[HTML][HTML] A novel dataset and lightweight detection system for broken bars induction motors using optimizable neural networks

WA Elhaija, QA Al-Haija - Intelligent Systems with Applications, 2023 - Elsevier
Broken rotor bars (BRBs) in induction motors (IMs) are a common kind of failure and one of
the most difficult to detect since the induction motor continues to run properly in the absence …

[HTML][HTML] Current and stray flux combined analysis for the automatic detection of rotor faults in soft-started induction motors

A Navarro-Navarro, I Zamudio-Ramirez… - Energies, 2022 - mdpi.com
Induction motors (IMs) have been extensively used for driving a wide variety of processes in
several industries. Their excellent performance, capabilities and robustness explain their …