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Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
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 …
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
At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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 …
several industries. Their excellent performance, capabilities and robustness explain their …