Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach
Published 2019 View Full Article
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Title
Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach
Authors
Keywords
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Journal
Energies
Volume 12, Issue 8, Pages 1471
Publisher
MDPI AG
Online
2019-04-18
DOI
10.3390/en12081471
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- (2017) George Georgoulas et al. IEEE Transactions on Industrial Informatics
- Stator winding inter-turn short-circuit detection in induction motors by parameter identification
- (2017) Hamoudi Abdallah et al. IET Electric Power Applications
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- (2017) Zhaowen Hou et al. IET Electric Power Applications
- Comprehensive review on inter-turn fault indexes in permanent magnet motors
- (2017) Jawad Faiz et al. IET Electric Power Applications
- Dynamic Eccentricity Induced in Induction Motor Detected by Optical Fiber Bragg Grating Strain Sensors
- (2016) Kleiton Morais Sousa et al. IEEE SENSORS JOURNAL
- An Inverse Approach for Interturn Fault Detection in Asynchronous Machines Using Magnetic Pendulous Oscillation Technique
- (2016) Hanafy Mahmoud et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Induction Motor Bearing Fault Analysis Using a Root-MUSIC Method
- (2016) Ahmed Hamida Boudinar et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- The Use of a Modified Prony's Method to Detect the Airgap-Eccentricity Occurrence in Induction Motors
- (2016) Khaled Yahia et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Application of intelligent tools to detect and classify broken rotor bars in three-phase induction motors fed by an inverter
- (2016) Wagner Fontes Godoy et al. IET Electric Power Applications
- Model-based exact technique to identify type and degree of eccentricity faults in induction motors
- (2016) Mansour Ojaghi et al. IET Electric Power Applications
- Autocorrelation function-based technique for stator turn-fault detection of induction motor
- (2016) Teymoor Ghanbari IET Science Measurement & Technology
- Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points
- (2015) Fang Duan et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Induction Machine Bearing Fault Detection by Means of Statistical Processing of the Stray Flux Measurement
- (2015) Lucia Frosini et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Experimental Evaluation of Low-Voltage Offline Testing for Induction Motor Rotor Fault Diagnostics
- (2015) Tae-June Kang et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Stator Fault Diagnostics in Squirrel Cage Three-Phase Induction Motor Drives Using the Instantaneous Active and Reactive Power Signature Analyses
- (2014) M'hamed Drif et al. IEEE Transactions on Industrial Informatics
- FPGA-Based Broken Bars Detection on Induction Motors Under Different Load Using Motor Current Signature Analysis and Mathematical Morphology
- (2014) Jose de Jesus Rangel-Magdaleno et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis
- (2013) Bashir Mahdi Ebrahimi et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Advanced Diagnosis of Outer Cage Damage in Double-Squirrel-Cage Induction Motors Under Time-Varying Conditions Based on Wavelet Analysis
- (2013) Yasser Gritli et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Influence of the Stator Windings Configuration in the Currents and Zero-Sequence Voltage Harmonics in Permanent Magnet Synchronous Motors With Demagnetization Faults
- (2013) Julio-Cesar Urresty et al. IEEE TRANSACTIONS ON MAGNETICS
- Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks
- (2012) Miguel Delgado Prieto et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors
- (2010) Pinjia Zhang et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
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