[go: up one dir, main page]

Hemmati et al., 2016 - Google Patents

Roller bearing acoustic signature extraction by wavelet packet transform, applications in fault detection and size estimation

Hemmati et al., 2016

View PDF
Document ID
6434195020606718965
Author
Hemmati F
Orfali W
Gadala M
Publication year
Publication venue
Applied acoustics

External Links

Snippet

Continuous online monitoring of rotating machines is necessary to assess real-time health conditions so as to enable early detection of operation problems and thus reduce the possibility of downtime. Rolling element bearings are crucial parts of many machines and …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating 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
    • G01N29/44Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/02Testing of gearing or of transmission mechanisms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/72Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables
    • G01N27/82Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
    • G01N27/90Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/04Testing of bearings
    • 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
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating 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
    • G01N29/22Details, e.g. general constructional or apparatus details
    • 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

Similar Documents

Publication Publication Date Title
Hemmati et al. Roller bearing acoustic signature extraction by wavelet packet transform, applications in fault detection and size estimation
Hoseinzadeh et al. Quantitative diagnosis for bearing faults by improving ensemble empirical mode decomposition
Cong et al. Short-time matrix series based singular value decomposition for rolling bearing fault diagnosis
Golafshan et al. SVD and Hankel matrix based de-noising approach for ball bearing fault detection and its assessment using artificial faults
Caesarendra et al. Acoustic emission-based condition monitoring methods: Review and application for low speed slew bearing
Singh et al. Rolling element bearing fault diagnosis based on over-complete rational dilation wavelet transform and auto-correlation of analytic energy operator
Eftekharnejad et al. The application of spectral kurtosis on acoustic emission and vibrations from a defective bearing
Nikolaou et al. Rolling element bearing fault diagnosis using wavelet packets
Chacon et al. A novel approach for incipient defect detection in rolling bearings using acoustic emission technique
Yang et al. Fault diagnosis of rolling element bearings using basis pursuit
Yang et al. Vibration feature extraction techniques for fault diagnosis of rotating machinery: a literature survey
Yan et al. Energy-based feature extraction for defect diagnosis in rotary machines
Shakya et al. Vibration-based fault diagnosis in rolling element bearings: Ranking of various time, frequency and time-frequency domain data-based damage identi cation parameters
Liu et al. An extended wavelet spectrum for bearing fault diagnostics
Meserkhani et al. Experimental comparison of acoustic emission sensors in the detection of outer race defect of angular contact ball bearings by artificial neural network
Yan et al. Base wavelet selection for bearing vibration signal analysis
Osman et al. An enhanced Hilbert–Huang transform technique for bearing condition monitoring
Klausen et al. Multi-band identification for enhancing bearing fault detection in variable speed conditions
Yan et al. Harmonic wavelet-based data filtering for enhanced machine defect identification
Omar et al. Dynamic wavelet-based tool for gearbox diagnosis
Jain et al. A review on vibration signal analysis techniques used for detection of rolling element bearing defects
Zheng et al. An adaptive group sparse feature decomposition method in frequency domain for rolling bearing fault diagnosis
Bastami et al. Estimating the size of naturally generated defects in the outer ring and roller of a tapered roller bearing based on autoregressive model combined with envelope analysis and discrete wavelet transform
Bendjama et al. Selection of wavelet decomposition levels for vibration monitoring of rotating machinery
Bhende et al. Comprehensive bearing condition monitoring algorithm for incipient fault detection using acoustic emission