Nothing Special   »   [go: up one dir, main page]

Wang et al., 2019 - Google Patents

Order spectrogram visualization for rolling bearing fault detection under speed variation conditions

Wang et al., 2019

Document ID
14901147151356845066
Author
Wang Y
Peter W
Tang B
Qin Y
Deng L
Huang T
Xu G
Publication year
Publication venue
Mechanical Systems and Signal Processing

External Links

Snippet

For rotating machinery condition monitoring and fault diagnosis under speed variation conditions, order tracking has been considered as a very powerful non-stationary vibration signal analysis method, when compared with the frequency analysis methods based on …
Continue reading at www.sciencedirect.com (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
    • 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
    • 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
    • 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
    • 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
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Testing of vehicles of wheeled or endless-tracked vehicles

Similar Documents

Publication Publication Date Title
Wang et al. Order spectrogram visualization for rolling bearing fault detection under speed variation conditions
Miao et al. Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition
Wang et al. An online tacholess order tracking technique based on generalized demodulation for rolling bearing fault detection
Han et al. Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD
Chen et al. High-accuracy fault feature extraction for rolling bearings under time-varying speed conditions using an iterative envelope-tracking filter
Ming et al. Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum
Li et al. Application of EEMD and improved frequency band entropy in bearing fault feature extraction
Zhang et al. Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis
Chen et al. Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
Wang et al. An enhanced Kurtogram method for fault diagnosis of rolling element bearings
Hao et al. A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis
Meng et al. General synchroextracting chirplet transform: Application to the rotor rub-impact fault diagnosis
Shi et al. Generalized stepwise demodulation transform and synchrosqueezing for time–frequency analysis and bearing fault diagnosis
Zhao et al. A tacho-less order tracking technique for large speed variations
Hu et al. An adaptive spectral kurtosis method and its application to fault detection of rolling element bearings
Zhao et al. Signal optimization based generalized demodulation transform for rolling bearing nonstationary fault characteristic extraction
Saidi et al. Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis
Wang et al. Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis
Guo et al. Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition
Borghesani et al. A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions
Wang et al. Rotating speed isolation and its application to rolling element bearing fault diagnosis under large speed variation conditions
Yang et al. Fault diagnosis of rolling element bearings using basis pursuit
Hou et al. A tacholess order tracking method for wind turbine planetary gearbox fault detection
Wang et al. A hybrid approach to fault diagnosis of roller bearings under variable speed conditions
Fan et al. A hybrid approach for fault diagnosis of planetary bearings using an internal vibration sensor