Aiming at the problems of low accuracy of non-stationary signal spectrum analysis in rotating machinery vibration, this paper puts forward a kind of rotating mechanical signal analysis method based on EEMD and spectrum correction. Firstly, ensemble empirical mode decomposition (EEMD) is used to obtain the intrinsic mode functions (IMF) of the original signal; secondly, do correlation analysis for each IMF component and the original signal separately, and find out the IMF component with the largest correlation coefficient and calculate the frequency spectrum of the IMF; finally, spectrum correction algorithm is employed to get accurate spectrum for quantitative analysis. A practical vibration signal of rotor vibration platform is applied to ...
Empirical wavelet transform (EWT) is a novel adaptive signal decomposition method, whose main shortc...
Rolling bearings are widely used in rotating machinery and their fault is one of the most common cau...
abstractEN: In rotating machinery, the detection of local damage is one of the most important issues...
In order to raise the working reliability of rotating machinery in real applications and reduce the ...
The vibration based signal processing technique is one of the principal tools for diagnosing faults ...
Vibration‐based condition monitoring and fault diagnosis are becoming more common in the industry to...
Roller bearings are the most widely used and easily damaged mechanical parts in rotating machinery. ...
The fault diagnosis of rotating machinery has crucial significance for the safety of modern industry...
In diesel engine fault diagnosis, non-stationary vibration signal is easily disturbed by strong nois...
AbstractBased on study of aeroengine vibration mechanism and analysis of characteristics of vibratio...
The Fourier transform (FT) has been the most popular method for analyzing large rotating machine sha...
AbstractThe fault spectral precision plays a significant role in the field of mechanical diagnosis. ...
There are abundant of fault information in rotating machinery vibration signal. On account of the no...
A method is proposed to improve the feature extraction of vibration signals of rotating machinery. F...
Cyclostationary analysis has been strongly recognized as an effective demodulation tool in identifyi...
Empirical wavelet transform (EWT) is a novel adaptive signal decomposition method, whose main shortc...
Rolling bearings are widely used in rotating machinery and their fault is one of the most common cau...
abstractEN: In rotating machinery, the detection of local damage is one of the most important issues...
In order to raise the working reliability of rotating machinery in real applications and reduce the ...
The vibration based signal processing technique is one of the principal tools for diagnosing faults ...
Vibration‐based condition monitoring and fault diagnosis are becoming more common in the industry to...
Roller bearings are the most widely used and easily damaged mechanical parts in rotating machinery. ...
The fault diagnosis of rotating machinery has crucial significance for the safety of modern industry...
In diesel engine fault diagnosis, non-stationary vibration signal is easily disturbed by strong nois...
AbstractBased on study of aeroengine vibration mechanism and analysis of characteristics of vibratio...
The Fourier transform (FT) has been the most popular method for analyzing large rotating machine sha...
AbstractThe fault spectral precision plays a significant role in the field of mechanical diagnosis. ...
There are abundant of fault information in rotating machinery vibration signal. On account of the no...
A method is proposed to improve the feature extraction of vibration signals of rotating machinery. F...
Cyclostationary analysis has been strongly recognized as an effective demodulation tool in identifyi...
Empirical wavelet transform (EWT) is a novel adaptive signal decomposition method, whose main shortc...
Rolling bearings are widely used in rotating machinery and their fault is one of the most common cau...
abstractEN: In rotating machinery, the detection of local damage is one of the most important issues...