Physical variable measurement techniques for fault detection in electric motors
S Aguayo-Tapia, G Avalos-Almazan… - Energies, 2023 - mdpi.com
Induction motors are widely used worldwide for domestic and industrial applications. Fault
detection and classification techniques based on signal analysis have increased in …
detection and classification techniques based on signal analysis have increased in …
Stator fault analysis of three-phase induction motors using information measures and artificial neural networks
The three-phase induction motors are considered one of the most important elements of the
industrial process. However, in this environment, these machines are subject to electrical …
industrial process. However, in this environment, these machines are subject to electrical …
Stator short-circuit diagnosis in induction motors using mutual information and intelligent systems
GH Bazan, PR Scalassara, W Endo… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper proposes a novel approach for detection of stator short-circuit faults in three-
phase induction motors. The method is based on two stages: feature extraction and …
phase induction motors. The method is based on two stages: feature extraction and …
Recent developments towards industry 4.0 oriented predictive maintenance in induction motors
Predictive maintenance (PdM) for smart manufacturing and Industry 4.0 has been
associated with manufacturing intelligence supported by Artificial Intelligence (AI) …
associated with manufacturing intelligence supported by Artificial Intelligence (AI) …
Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine
This paper presents faulty bearing detection, classification and its location in a three-phase
induction motor using Stockwell transform and Support vector machine. Stockwell transform …
induction motor using Stockwell transform and Support vector machine. Stockwell transform …
Study on fault diagnosis of broken rotor bars in squirrel cage induction motors: a multi‐agent system approach using intelligent classifiers
A critical factor in industrial production maintenance is decision‐making in fault diagnosis.
Motor current signature analysis (MCSA) is an established condition‐based maintenance …
Motor current signature analysis (MCSA) is an established condition‐based maintenance …
The use of digital twins in finite element for the study of induction motors faults
TD Lopes, A Raizer, W Valente Júnior - Sensors, 2021 - mdpi.com
Induction motors play a key role in the industrial sector. Thus, the correct diagnosis and
classification of faults on these machines are important, even in the initial stages of …
classification of faults on these machines are important, even in the initial stages of …
Induction machine model with finite element accuracy for condition monitoring running in real time using hardware in the loop system
Most industrial processes are run by induction machines (IMs). Condition monitoring of IM
assures their continuity of service, and it may avoid highly costly breakdowns. Among the …
assures their continuity of service, and it may avoid highly costly breakdowns. Among the …
Induction machine model with space harmonics for fault diagnosis based on the convolution theorem
A Sapena-Bano, J Martinez-Roman… - International Journal of …, 2018 - Elsevier
Fault diagnosis of induction machines (IMs) requires a fast model of the machine, for
adjusting fault thresholds in data-driven diagnostic methods, for computing the residuals in …
adjusting fault thresholds in data-driven diagnostic methods, for computing the residuals in …
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine
JJ Saucedo-Dorantes, M Delgado-Prieto… - Applied Soft …, 2019 - Elsevier
Strategies of condition monitoring applied to electric motors play an important role in the
competitiveness of multiple industrial sectors. However, the risk of faults coexistence in an …
competitiveness of multiple industrial sectors. However, the risk of faults coexistence in an …