An improved empirical wavelet transform method for rolling bearing fault diagnosis

Weighted sparse representation based on failure dynamics simulation for planetary gearbox fault diagnosis

(2019) Ruo-Bin Sun et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Automated X-ray recognition of solder bump defects based on ensemble-ELM

(2019) Lei Su et al.   Science China-Technological Sciences

Fault Feature Extraction and Enhancement of Rolling Element Bearings Based on Maximum Correlated Kurtosis Deconvolution and Improved Empirical Wavelet Transform

(2019) Zheng Li et al.   Applied Sciences-Basel

Time-frequency-based maximum correlated kurtosis deconvolution approach for detecting bearing faults under variable speed conditions

(2019) Lu Wang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform

(2019) Wei Teng et al.   RENEWABLE ENERGY

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

(2019) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A fault diagnosis method for roller bearing based on empirical wavelet transform decomposition with adaptive empirical mode segmentation

(2018) Yueheng Song et al.   MEASUREMENT

Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings

(2018) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Adaptive TQWT filter based feature extraction method and its application to detection of repetitive transients

(2018) Yun Kong et al.   Science China-Technological Sciences

A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

(2018) Lingli Cui et al.   MEASUREMENT

A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

(2018) Huaqing Wang et al.   COMPUTERS IN INDUSTRY

Anomaly detection of hot components in gas turbine based on frequent pattern extraction

(2017) JinFu Liu et al.   Science China-Technological Sciences

A comparative study between Empirical Wavelet Transforms and Empirical Mode Decomposition Methods: Application to bearing defect diagnosis

(2016) M. Kedadouche et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment

(2016) Jun Pan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

(2016) Jinglong Chen et al.   RENEWABLE ENERGY

A parameterless scale-space approach to find meaningful modes in histograms — Application to image and spectrum segmentation

(2014) Jérôme Gilles et al.   International Journal of Wavelets Multiresolution and Information Processing

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

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

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

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING