Comparative study between cyclostationary analysis, EMD, and CEEMDAN for the vibratory diagnosis of rotating machines in industrial environment

Application of the cyclostationarity analysis in the detection of mechanical defects: comparative study

(2019) Mohamed Khemissi Babouri et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Enhancement of rolling bearing fault diagnosis based on improvement of empirical mode decomposition denoising method

(2018) Rabah Abdelkader et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

CEEMDAN and OWMRA as a hybrid method for rolling bearing fault diagnosis under variable speed

(2017) Mohamed Lamine Bouhalais et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Fault diagnosis of rolling bearing based on improved CEEMDAN and distance evaluation technique

(2017) Feng Ding et al.   Journal of Vibroengineering

Experimental study of a turbo-alternator in industrial environment using cyclostationarity analysis

(2015) Tarek Kebabsa et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Rolling bearing fault detection using a hybrid method based on Empirical Mode Decomposition and optimized wavelet multi-resolution analysis

(2015) Abderrazek Djebala et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines

(2013) Xiaoyuan Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wavelets for fault diagnosis of rotary machines: A review with applications

(2013) Ruqiang Yan et al.   SIGNAL PROCESSING

Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition

(2012) Wei Guo et al.   MEASUREMENT

Application of the Wavelet Multi-resolution Analysis and Hilbert transform for the prediction of gear tooth defects

(2012) A. Djebala et al.   MECCANICA

A review on empirical mode decomposition in fault diagnosis of rotating machinery

(2012) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A comparative experimental study on the use of three denoising methods for bearing defect detection

(2009) Jean-Paul Dron et al.   MECCANICA

Misalignment diagnosis of rotating machinery through vibration analysis via the hybrid EEMD and EMD approach

(2009) T Y Wu et al.   Smart Materials and Structures

Blind extraction of a cyclostationary signal using reduced-rank cyclic regression—A unifying approach

(2007) Roger Boustany et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of frequency family separation method based upon EMD and local Hilbert energy spectrum method to gear fault diagnosis

(2007) Junsheng Cheng et al.   MECHANISM AND MACHINE THEORY