Recent trends in magnetic sensors and flux-based condition monitoring of electromagnetic devices
As one of the most promising techniques, magnetic flux-based condition monitoring of
electrical machines, has gained significant traction in the past decade. One of the key …
electrical machines, has gained significant traction in the past decade. One of the key …
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
Bearing faults are the main contributors to the failure of electric motors. Although a number
of vibration analysis methods have been developed for the detection of bearing faults, false …
of vibration analysis methods have been developed for the detection of bearing faults, false …
A framework for prognostics and health management applications toward smart manufacturing systems
Prognostics and health management (PHM) has emerged as an intelligent solution to
improve the availability of manufacturing systems. PHM consists of system health …
improve the availability of manufacturing systems. PHM consists of system health …
Observer-based fault detection for nonlinear systems with sensor fault and limited communication capacity
In this technical note, a new fault detection design scheme is proposed for interval type-2
(IT2) Takagi-Sugeno (TS) fuzzy systems with sensor fault based on a novel fuzzy observer …
(IT2) Takagi-Sugeno (TS) fuzzy systems with sensor fault based on a novel fuzzy observer …
Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks
MD Prieto, G Cirrincione, AG Espinosa… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Bearing degradation is the most common source of faults in electrical machines. In this
context, this work presents a novel monitoring scheme applied to diagnose bearing faults …
context, this work presents a novel monitoring scheme applied to diagnose bearing faults …
Detection of localized bearing faults in induction machines by spectral kurtosis and envelope analysis of stator current
VCMN Leite, JGB da Silva, GFC Veloso… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
Early detection of faults in electrical machines, particularly in induction motors, has become
necessary and critical in reducing costs by avoiding unexpected and unnecessary …
necessary and critical in reducing costs by avoiding unexpected and unnecessary …
Anomaly detection using self-organizing maps-based k-nearest neighbor algorithm
Self-organizing maps have been used extensively for condition-based maintenance, where
quantization errors of test data referring to the self-organizing maps of healthy training data …
quantization errors of test data referring to the self-organizing maps of healthy training data …
Bearing fault diagnosis for direct-drive wind turbines via current-demodulated signals
X Gong, W Qiao - IEEE Transactions on Industrial Electronics, 2013 - ieeexplore.ieee.org
Bearing faults account for a large portion of all faults in wind turbine generators (WTGs).
Current-based bearing fault diagnosis techniques have great economic benefits and are …
Current-based bearing fault diagnosis techniques have great economic benefits and are …
An explainable convolutional neural network for fault diagnosis in linear motion guide
A linear motion (LM) guide is a mechanical tool for requiring linear motion in a system.
Repeating linear movements can cause cracking and deterioration of the LM guide, which …
Repeating linear movements can cause cracking and deterioration of the LM guide, which …
Bearing fault model for induction motor with externally induced vibration
F Immovilli, C Bianchini, M Cocconcelli… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper investigates the relationship between vibration and current in induction motors
operated under external vibrations. Two approaches are usually available to define this …
operated under external vibrations. Two approaches are usually available to define this …