An optimized variational mode decomposition method and its application in vibration signal analysis of bearings

Synchro-Reassigning Transform for Instantaneous Frequency Estimation and Signal Reconstruction

(2021) Miaofen Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Rolling Bearing Fault Diagnosis Method Based on EEMD-WSST Signal Reconstruction and Multi-Scale Entropy

(2020) Jianghua Ge et al.   Entropy

A Novel Intelligent Method for Bearing Fault Diagnosis Based on EEMD Permutation Entropy and GG Clustering

(2020) Jingbao Hou et al.   Applied Sciences-Basel

A Fault Diagnosis Method of Mine Hoist Disc Brake System Based on Machine Learning

(2020) Juanli Li et al.   Applied Sciences-Basel

An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms

(2020) Zhiyuan He et al.   ISA TRANSACTIONS

An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing

(2020) Jingbo Gai et al.   MEASUREMENT

A GOA-MSVM based strategy to achieve high fault identification accuracy for rotating machinery under different load conditions

(2020) Jianqun Zhang et al.   MEASUREMENT

An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings

(2020) M.G.A. Nassef et al.   MEASUREMENT

An optimized VMD method and its applications in bearing fault diagnosis

(2020) Hua Li et al.   MEASUREMENT

Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects

(2020) Anil Kumar et al.   MEASUREMENT

Adaptive variational mode decomposition and its application to multi-fault detection using mechanical vibration signals

(2020) Xiuzhi He et al.   ISA TRANSACTIONS

Scaling-Basis Chirplet Transform

(2020) Miaofen Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Detection and identification of windmill bearing faults using a one-class support vector machine (SVM)

(2019) Juhamatti Saari et al.   MEASUREMENT

An optimal variational mode decomposition for rolling bearing fault feature extraction

(2019) Dongdong Wei et al.   MEASUREMENT SCIENCE and TECHNOLOGY

An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis

(2019) Yao Cheng et al.   ISA TRANSACTIONS

Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD

(2019) Tian Han et al.   MEASUREMENT

A novel mechanical design of disc brakes for fault diagnosis and monitoring positive braking pressure in mine hoist

(2019) Guiyun Xu et al.   Advances in Mechanical Engineering

Fast Blind Reconstruction with Wavelet Transforms Regularization and Total Variation Minimization for FTIR Imaging Spectrometer

(2018) Tingting Liu et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Data-driven time-frequency analysis method based on variational mode decomposition and its application to gear fault diagnosis in variable working conditions

(2018) Fuhao Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing fault diagnosis based on variational mode decomposition and total variation denoising

(2016) Suofeng Zhang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system

(2015) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method

(2014) Sheng Hong et al.   DIGITAL SIGNAL PROCESSING

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

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

(2013) Jacek Dybała et al.   APPLIED ACOUSTICS

Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples

(2013) Zhipeng Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING