nhuang5 / cyclostationary-analysis-for-bearing-failure-identification

Cyclostationary analysis in angular domain for bearing fault identification

Cyclostationary analysis in angular domain for bearing fault identification

The following repository has the functions needed in order to reproduce the results of the work entitled "Cyclo-non-stationary analysis for bearing fault identification based on instantaneous angular speed estimation" presented in the https://survishno.sciencesconf.org/, the database is available as supplementary material of the article, "Feedback on the Surveillance 8 challenge: Vibration-based diagnosis of a Safran aircraft engine", founded in https://doi.org/10.1016/j.ymssp.2017.01.037. If you find this material useful, please give a citation to the papers mentioned above.

REB Highlight

Functions to REB failure identification based on Spectral kurtosis:

SK_W # Spectral kurtosis from a Matlab repository made by ANTONI Jerome

PSD_envW # Proposed algorithm SK based implementation.

bearingfault # Bearing fault numerical signal for any questions please contact http://lva.insa-lyon.fr/en/

Angular resampling functions

These functions are translated/adapted from the book Noise and Vibration Analysis Signal Analysis and Experimental Procedures by Anders Brandt

tTacho_fsig # Time indexes for angular resampling, and the Instantaneous Angular Profile (IAS), uses as input the tachometer signal

COT_intp # interpolates a vibration signal with given time indexes in tTacho_fsig

COT_intp2 # Interpolates the signal given an IAS profile, useful for numerical tests

tTacho_fsigLVA # Creates an IF profile from the tachometer signal, translated from matlab from courses of the http://lva.insa-lyon.fr/en/

functions to print data-tips using matplotlib

The following functions are using to put data-tips in a certain amount of harmonics given a Power Spectral Density

printxtips

printxtipsusr