[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ghanbari et al., 2022 - Google Patents

Inter-turn fault detection of induction motors using a method based on spectrogram of motor currents

Ghanbari et al., 2022

Document ID
8696562460085874160
Author
Ghanbari T
Mehraban A
Farjah E
Publication year
Publication venue
Measurement

External Links

Snippet

Steady-state signatures seem more reliable than incipient fault signatures for detection of inter-turn short circuit (ITSC) fault in induction motors (IMs). An efficient detection approach is proposed based on the deviation of the histogram relevant to the time–frequency plane's …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34Testing dynamo-electric machines
    • G01R31/343Testing dynamo-electric machines in operation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/02Testing of electric apparatus, lines or components, for short-circuits, discontinuities, leakage of current, or incorrect line connection
    • G01R31/024Arrangements for indicating continuity or short-circuits in electric apparatus or lines, leakage or ground faults
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28Testing of electronic circuits, e.g. by signal tracer
    • G01R31/2832Specific tests of electronic circuits not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/25Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques

Similar Documents

Publication Publication Date Title
Akhil Vinayak et al. Wavelet‐based real‐time stator fault detection of inverter‐fed induction motor
Almounajjed et al. Diagnosis of stator fault severity in induction motor based on discrete wavelet analysis
Ghanbari et al. Inter-turn fault detection of induction motors using a method based on spectrogram of motor currents
EP2790028B1 (en) Broken rotor bar detection based on current signature analysis of an electric machine
Bessous et al. Diagnosis of bearing defects in induction motors using discrete wavelet transform
de Jesus Romero-Troncoso Multirate signal processing to improve FFT-based analysis for detecting faults in induction motors
Riera-Guasp et al. Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: State of the art
Rivera-Guillen et al. Enhanced FFT-based method for incipient broken rotor bar detection in induction motors during the startup transient
Yang et al. Feature knowledge based fault detection of induction motors through the analysis of stator current data
Kim et al. High-resolution parameter estimation method to identify broken rotor bar faults in induction motors
CusidÓCusido et al. Fault detection in induction machines using power spectral density in wavelet decomposition
Ayhan et al. Multiple signature processing-based fault detection schemes for broken rotor bar in induction motors
Sahraoui et al. The use of a modified prony method to track the broken rotor bar characteristic frequencies and amplitudes in three-phase induction motors
Matić et al. Support vector machine classifier for diagnosis in electrical machines: Application to broken bar
Allal et al. Diagnosis of induction motor faults using the motor current normalized residual harmonic analysis method
Martin-Diaz et al. Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis
Zhao et al. Detection of interturn short-circuit faults in DFIGs based on external leakage flux sensing and the VMD-RCMDE analytical method
Yahia et al. The use of a modified Prony's method to detect the airgap-eccentricity occurrence in induction motors
Hwang et al. Robust diagnosis algorithm for identifying broken rotor bar faults in induction motors
Kia Monitoring of wound rotor induction machines by means of discrete wavelet transform
Senthil Kumar et al. Broken rotor bar fault detection using DWT and energy eigenvalue for DTC fed induction motor drive
Dehina et al. Detectability of rotor failure for induction motors through stator current based on advanced signal processing approaches
Mariun et al. An experimental study of induction motor current signature analysis techniques for incipient broken rotor bar detection
Dehina et al. Experimental investigation in induction motors using signal processing techniques for early detection of inter-turn short circuit faults
Georgoulas et al. Start-up analysis methods for the diagnosis of rotor asymmetries in induction motors-seeing is believing