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

Bessous et al., 2015 - Google Patents

A Comparative Study between the FFT and DWT Method Applied to a Bearing Fault in Induction Motors-Results Dedicated to the Industry

Bessous et al., 2015

View PDF
Document ID
5934321323082432765
Author
Bessous N
Zouzou S
Bentrah W
Sbaa S
Publication year
Publication venue
WSEAS, Transactions on systems and control

External Links

Snippet

The diagnosis of rotating machines by signals analysis has evolved considerably in recent years thanks to advanced signal processing techniques. The bearing faults have an important percentage by comparison with the stator or rotor faults in induction machines. The …
Continue reading at wseas.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34—Testing dynamo-electric machines
    • G01R31/343—Testing dynamo-electric machines in operation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing 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
    • G01R31/1227—Testing 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
    • G01R31/1263—Testing 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 of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/02—Testing of electric apparatus, lines or components, for short-circuits, discontinuities, leakage of current, or incorrect line connection
    • G01R31/024—Arrangements for indicating continuity or short-circuits in electric apparatus or lines, leakage or ground faults
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M15/00—Testing of engines
    • G01M15/04—Testing of internal-combustion engines, e.g. diagnostic testing of piston engines
    • G01M15/12—Testing of internal-combustion engines, e.g. diagnostic testing of piston engines by monitoring vibrations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Testing of gearing or of transmission mechanisms
    • G01M13/021—Testing of gearing or of transmission mechanisms of gearings
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28—Testing of electronic circuits, e.g. by signal tracer
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/04—Testing of bearings
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis

Similar Documents

Publication Publication Date Title
Li et al. Application of bandwidth EMD and adaptive multiscale morphology analysis for incipient fault diagnosis of rolling bearings
Singh et al. Detection of bearing faults in mechanical systems using stator current monitoring
de Jesus Romero-Troncoso Multirate signal processing to improve FFT-based analysis for detecting faults in induction motors
Saidi et al. Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis
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
Singh et al. Motor current signature analysis for bearing fault detection in mechanical systems
Bessous et al. A comparative study between the MCSA, DWT and the vibration analysis methods to diagnose the dynamic eccentricity fault in induction motors
Saidi et al. Diagnosis of broken-bars fault in induction machines using higher order spectral analysis
JP7270773B2 (en) Method for Estimating Bearing Fault Severity in Induction Motors
Climente-Alarcon et al. Diagnosis of induction motors under varying speed operation by principal slot harmonic tracking
EP2790028A1 (en) Broken rotor bar detection based on current signature analysis of an electric machine
Corne et al. Comparing MCSA with vibration analysis in order to detect bearing faults—A case study
Yahia et al. The use of a modified Prony's method to detect the airgap-eccentricity occurrence in induction motors
Cusido et al. Wavelet and PDD as fault detection techniques
Antonino-Daviu et al. Transient detection of eccentricity-related components in induction motors through the Hilbert–Huang Transform
Noureddine et al. Experimental exploitation for the diagnosis to the induction machine under a bearing fault-using MCSA
Dehina et al. Diagnosis and Detection of Rotor Bars Faults in Induction Motor Using HT and DWT Techniques
Gritli et al. Diagnosis of mechanical unbalance for double cage induction motor load in time-varying conditions based on motor vibration signature analysis
Bessous et al. A Comparative Study between the FFT and DWT Method Applied to a Bearing Fault in Induction Motors-Results Dedicated to the Industry
Patel et al. Condition monitoring of induction motor bearing based on bearing damage index
Matic et al. Vibration Based Broken Bar Detection in Induction Machine for Low Load Conditions.
Choqueuse et al. Induction machine bearing failures detection using stator current frequency spectral subtraction
Treml et al. EMD and MCSA improved via Hilbert Transform analysis on asynchronous machines for broken bar detection using vibration analysis
Gonçalves et al. Diagnosis of bearing faults in induction motors by vibration signals-Comparison of multiple signal processing approaches
Wang et al. Vibration signature analysis for broken rotor bar diagnosis in induction motors based on cyclic modulation spectrum