Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses

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

Defect diagnostics of roller bearing using instantaneous frequency normalization under fluctuant rotating speed

(2016) T. Y. Wu et al.   Journal of Mechanical Science and 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

Bearing faults diagnostics based on hybrid LS-SVM and EMD method

(2015) Xiaofeng Liu et al.   MEASUREMENT

A fault diagnosis method of rolling element bearings based on CEEMDAN

(2015) Yaguo Lei et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control

Fault Detection of a Roller-Bearing System through the EMD of a Wavelet Denoised Signal

(2014) Jong-Hyo Ahn et al.   SENSORS

Rolling bearing diagnosing method based on Empirical Mode Decomposition of machine vibration signal

(2013) Jacek Dybała et al.   APPLIED ACOUSTICS

Using appropriate IMFs for envelope analysis in multiple fault diagnosis of ball bearings

(2013) Min-Chun Pan et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

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

Vibratory monitoring of a spalling bearing defect in variable speed regime

(2013) Khalid Ait Sghir et al.   Mechanics & Industry

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

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

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

Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

(2011) G.F. Bin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Rotating machine fault diagnosis using empirical mode decomposition

(2007) Q. Gao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING