Hemmati et al., 2016 - Google Patents
Roller bearing acoustic signature extraction by wavelet packet transform, applications in fault detection and size estimationHemmati 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 …
- 238000001514 detection method 0 title abstract description 19
Classifications
-
- 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
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/90—Investigating 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
-
- 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
- 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
- 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
- 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
- G01N29/22—Details, e.g. general constructional or apparatus details
-
- 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
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 |