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Fault Diagnosis of Bearing Damage by Means of the Linear Discriminant Analysis of Stator Current Features From the Frequency Selection

https://doi.org/10.1109/tia.2016.2581139
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1049/pbpo056eopenalex-snapshot
Condition Monitoring of Rotating Electrical Machines
inferredcites →https://doi.org/10.1049/pbpo145eopenalex-snapshot
Condition Monitoring of Rotating Electrical Machines
inferredcites →https://doi.org/10.1109/28.475698openalex-snapshot
An unsupervised, on-line system for induction motor fault detection using stator current monitoring
inferredcites →https://doi.org/10.1109/apec.2009.4802777openalex-snapshot
Fault Detection in dynamic conditions by means of Discrete Wavelet Decomposition for PMSM running under Bearing Damage
inferredcites →https://doi.org/10.1109/demped.2003.1234568openalex-snapshot
Fault classification and fault signature production for rolling element bearings in electric machines
inferredcites →https://doi.org/10.1109/demped.2003.1234570openalex-snapshot
Stator current analysis for bearing damage detection in induction motors
inferredcites →https://doi.org/10.1109/demped.2015.7303715openalex-snapshot
Supervised diagnosis of induction motor faults: A proposed methodology for an improved performance evaluation
inferredcites →https://doi.org/10.1109/ias.1994.345492openalex-snapshot
An unsupervised, on-line system for induction motor fault detection using stator current monitoring
inferredcites →https://doi.org/10.1109/icelmach.2012.6350108openalex-snapshot
Fault detection and diagnosis of induction motors based on hidden Markov model
inferredcites →https://doi.org/10.1109/icelmach.2012.6350231openalex-snapshot
A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks
inferredcites →https://doi.org/10.1109/icelmach.2014.6960399openalex-snapshot
Impact of the load in the detection of bearing faults by using the stator current in PMSM's
inferredcites →https://doi.org/10.1109/iecon.2005.1569315openalex-snapshot
Bearing failures diagnosis in three-phase induction motors by extended Park's vector approach
inferredcites →https://doi.org/10.1109/iecon.2011.6119621openalex-snapshot
Stator current based indicators for bearing fault detection in synchronous machine by statistical frequency selection
inferredcites →https://doi.org/10.1109/iecon.2012.6389275openalex-snapshot
Bearing fault detection in synchronous machine based on the statistical analysis of stator current
inferredcites →https://doi.org/10.1109/nnsp.1999.788121openalex-snapshot
Fisher discriminant analysis with kernels
inferredcites →https://doi.org/10.1109/tau.1967.1161901openalex-snapshot
The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
inferredcites →https://doi.org/10.1109/tia.1985.349532openalex-snapshot
Report of Large Motor Reliability Survey of Industrial and Commercial Installations, Part I
inferredcites →https://doi.org/10.1109/tia.2009.2023566openalex-snapshot
Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter
inferredcites →https://doi.org/10.1109/tie.2008.917108openalex-snapshot
Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring
inferredcites →https://doi.org/10.1109/tie.2009.2025288openalex-snapshot
Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals
inferredcites →https://doi.org/10.1109/tie.2013.2273471openalex-snapshot
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

What points at this work

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inferred← citeshttps://doi.org/10.1007/978-3-030-96308-8_22openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-31719-4_1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-15-2862-0_20openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-15-9343-7_35openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-3925-1_21openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00202-019-00823-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10921-022-00856-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-023-15325-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12206-020-0501-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cja.2019.07.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cogr.2023.07.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.comcom.2021.10.035openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.egypro.2017.10.374openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infrared.2016.12.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1051/e3sconf/202233600051openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/21642583.2019.1661311openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ab8df9openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ad4bfcopenalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1742-6596/2467/1/012017openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2019.2904238openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2019.2947714openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.3010871openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.3012182openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.3034281openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3051409openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3114505openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3355268openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/demped.2017.8062402openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/demped.2017.8062404openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/edpc51184.2020.9388182openalex-snapshot
Cognitive Power Electronics for Intelligent Drive Technology
inferred← citeshttps://doi.org/10.1109/eeeic.2018.8494409openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/eitech.2017.8255309openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/fskd.2017.8393308openalex-snapshot
A face recognition hybrid algorithm by combining LDA with PNN
inferred← citeshttps://doi.org/10.1109/icaibd51990.2021.9459073openalex-snapshot
Research on Bearing Fault Diagnosis Base on Deep Learning
inferred← citeshttps://doi.org/10.1109/icems.2019.8922036openalex-snapshot
Detection of Bearing Outer Race Fault in Induction Motors using Motor Current Signature Analysis
inferred← citeshttps://doi.org/10.1109/icieam65163.2025.11028450openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icist.2019.8836805openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icit.2017.7913097openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icit.2018.8352212openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icit59216.2023.10335706openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icpc2t53885.2022.9776872openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iemdc.2019.8785276openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ikt62039.2023.10433018openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/induscon51756.2021.9529639openalex-snapshot
Identificação de Falhas em Rolamentos Aplicados em Motores de Indução por meio de Sensores de Corrente [Not available in English]
inferred← citeshttps://doi.org/10.1109/isml60050.2024.11007298openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jas.2025.125249openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jestpe.2026.3687927openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jsen.2022.3196907openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jstars.2026.3728452openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtucon.2017.8124745openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sdemped53223.2025.11154221openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ssd.2018.8570403openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tec.2018.2839083openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tec.2024.3376684openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tia.2016.2639453openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tia.2017.2677881openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tia.2018.2880143openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tie.2017.2782240openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tie.2018.2833025openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tie.2019.2917418openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tie.2025.3579108openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tii.2022.3148289openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tii.2022.3204555openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tim.2019.2933119openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tmech.2022.3223358openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tnnls.2019.2920903openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tvt.2019.2943376openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/upec50034.2021.9548171openalex-snapshot
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inferred← citeshttps://doi.org/10.1117/12.3006762openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2018/8385021openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2019/3264969openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2023/1264345openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/int/3135134openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/14759217251313815openalex-snapshot
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inferred← citeshttps://doi.org/10.1515/bpasts-2017-0023openalex-snapshot
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inferred← citeshttps://doi.org/10.2139/ssrn.7301498openalex-snapshot
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inferred← citeshttps://doi.org/10.21595/jve.2021.21935openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/cjee.2023.000010openalex-snapshot
Bearing Fault Numerical Model for the Closed-slot Rotor Submersible Motor
inferred← citeshttps://doi.org/10.30678/fjt.141503openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app10061996openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/e19110607openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en16010296openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/lubricants12050142openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/mi13091380openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s20071884openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s20226465openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s21041417openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s21072524openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22218330openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22228958openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s23073759openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s24082553openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s26061947openalex-snapshot
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inferred← citeshttps://doi.org/10.37394/232027.2023.5.5openalex-snapshot
A Proposed Fault Diagnostics Technique for Induction Motor Stator Winding
inferred← citeshttps://doi.org/10.4271/03-15-04-0028openalex-snapshot
Identification of Reliability States of a Ship Engine of the Type Sulzer 6AL20/24
inferred← citeshttps://doi.org/10.4271/03-18-02-0010openalex-snapshot
Fault Detection of Diesel Engines Using Artificial Neural Network
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