Wavelet transform for rotary machine fault diagnosis:10 years revisited

Difference mode decomposition for adaptive signal decomposition

(2023) Bingchang Hou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis

(2022) Zhibin Zhao et al.   ISA TRANSACTIONS

Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

(2022) Gabriel Michau et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Quaternion empirical wavelet transform and its applications in rolling bearing fault diagnosis

(2022) Kun Zhang et al.   MEASUREMENT

LW-Net: an interpretable network with smart lifting wavelet kernel for mechanical feature extraction and fault diagnosis

(2022) Jing Yuan et al.   NEURAL COMPUTING & APPLICATIONS

A Review on the Role of Tunable Q-Factor Wavelet Transform in Fault Diagnosis of Rolling Element Bearings

(2022) A. Anwarsha et al.   Journal of Vibration Engineering & Technologies

Variable step adaptive kurtogram method based on empirical wavelet transform for rolling bearing fault diagnosis

(2022) Keqin Zhao et al.   Journal of Mechanical Science and Technology

An Improved MobileNet Network with Wavelet Energy and Global Average Pooling for Rotating Machinery Fault Diagnosis

(2022) Fu Zhu et al.   SENSORS

Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis

(2022) Yunpeng Liu et al.   KNOWLEDGE-BASED SYSTEMS

NTScatNet: An interpretable convolutional neural network for domain generalization diagnosis across different transmission paths

(2022) Chao Liu et al.   MEASUREMENT

Acceleration-Guided Acoustic Signal Denoising Framework Based on Learnable Wavelet Transform Applied to Slab Track Condition Monitoring

(2022) Baorui Dai et al.   IEEE SENSORS JOURNAL

Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions

(2022) Xiaoan Yan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis

(2021) Kun Zhang et al.   MEASUREMENT

Fault detection for rotating machinery using translation-invariant higher-density wavelet packet sliding window block thresholding

(2021) Xin Lu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A Comprehensive Diagnosis Method of Rolling Bearing Fault Based on CEEMDAN-DFA-Improved Wavelet Threshold Function and QPSO-MPE-SVM

(2021) Yi Wang et al.   Entropy

Bearing defect identification via evolutionary algorithm with adaptive wavelet mutation strategy

(2021) Sumika Chauhan et al.   MEASUREMENT

Classification of gear faults in internal combustion (IC) engine gearbox using discrete wavelet transform features and K star algorithm

(2021) K.N. Ravikumar et al.   Engineering Science and Technology-An International Journal-JESTECH

Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

(2021) Haidong Shao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Extreme learning Machine-based classifier for fault diagnosis of rotating Machinery using a residual network and continuous wavelet transform

(2021) Hao Wei et al.   MEASUREMENT

Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

(2021) Enrico Zio   RELIABILITY ENGINEERING & SYSTEM SAFETY

Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis

(2021) Atik Faysal et al.   SENSORS

The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet Transform and Teager Energy Adaptive Spectral Kurtosis

(2021) D.-M. Yang   SENSORS

Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

(2021) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

(2021) Tianfu Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

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

(2020) Lilia Chaabi et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

An improved empirical wavelet transform method for rolling bearing fault diagnosis

(2020) HaiRun Huang et al.   Science China-Technological Sciences

Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis

(2020) Wan Zhang et al.   Applied Sciences-Basel

Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier

(2020) Mien Van et al.   SENSORS

New method for gear fault diagnosis using empirical wavelet transform, Hilbert transform, and cosine similarity metric

(2020) Toufik Bettahar et al.   Advances in Mechanical Engineering

A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures

(2020) Shoucong Xiong et al.   SENSORS

A Deep-Learning-Based Bearing Fault Diagnosis Using Defect Signature Wavelet Image Visualization

(2020) Bach Phi Duong et al.   Applied Sciences-Basel

Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms

(2020) Masoud Jalayer et al.   COMPUTERS IN INDUSTRY

An adaptive boundary determination method for empirical wavelet transform and its application in wheelset-bearing fault detection in high-speed trains

(2020) Qingsong Zhang et al.   MEASUREMENT

Integrated approach based on flexible analytical wavelet transform and permutation entropy for fault detection in rotary machines

(2020) Snehsheel Sharma et al.   MEASUREMENT

Early fault diagnosis of bearing based on frequency band extraction and improved tunable Q-factor wavelet transform

(2019) Ping Ma et al.   MEASUREMENT

Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network

(2019) M.M. Manjurul Islam et al.   COMPUTERS IN INDUSTRY

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

Extraction of weak fault using combined dual-tree wavelet and improved MCA for rolling bearings

(2019) Yanfei Lu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

A New Instantaneous Wavelet Bicoherence for Local Fault Detection of Rotating Machinery

(2019) Yong Li et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising

(2019) Jimeng Li et al.   MEASUREMENT

M-band flexible wavelet transform and its application to the fault diagnosis of planetary gear transmission systems

(2019) Yi Qin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Shannon Entropy of Binary Wavelet Packet Subbands and Its Application in Bearing Fault Extraction

(2018) et al.   Entropy

Teager Energy Entropy Ratio of Wavelet Packet Transform and Its Application in Bearing Fault Diagnosis

(2018) Shuting Wan et al.   Entropy

A New Family of Model-Based Impulsive Wavelets and Their Sparse Representation for Rolling Bearing Fault Diagnosis

(2018) Yi Qin   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

(2018) Jun Pan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

(2018) Thomas Wiatowski et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Discrete wavelet transform and energy eigen value for rotor bars fault detection in variable speed field-oriented control of induction motor drive

(2018) Tarek Ameid et al.   ISA TRANSACTIONS

Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine

(2018) Shao Haidong et al.   KNOWLEDGE-BASED SYSTEMS

Rolling element bearing fault diagnosis based on Over-Complete rational dilation wavelet transform and auto-correlation of analytic energy operator

(2018) Jaskaran Singh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Feature Extraction Method for Condition Monitoring of Rolling Element Bearings Based on Dual-Tree Complex Wavelet Packet Transform and VMD

(2018) Qiming Niu et al.   WIRELESS PERSONAL COMMUNICATIONS

A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing

(2018) Wu Deng et al.   IEEE Access

Multi-wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis

(2018) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings

(2018) Chuancang Ding et al.   ISA TRANSACTIONS

Time–frequency analysis for bearing fault diagnosis using multiple Q-factor Gabor wavelets

(2018) Xin Zhang et al.   ISA TRANSACTIONS

Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear

(2018) Yun Kong et al.   RENEWABLE ENERGY

An adaptive sensitive frequency band selection method for empirical wavelet transform and its application in bearing fault diagnosis

(2018) Kun Yu et al.   MEASUREMENT

Rational-Dilation Wavelet Transform Based Torque Estimation from Acoustic Signals for Fault Diagnosis in a Three-Phase Induction Motor

(2018) Parvathi Sangeetha B et al.   IEEE Transactions on Industrial Informatics

Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests

(2017) Ziwei Wang et al.   IEEE SENSORS JOURNAL

Experimental diagnosis of broken rotor bars fault in induction machine based on Hilbert and discrete wavelet transforms

(2017) Hicham Talhaoui et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet

(2017) Haidong Shao et al.   ISA TRANSACTIONS

Fault identification method for planetary gear based on DT-CWT threshold denoising and LE

(2017) Xihui Chen et al.   Journal of Mechanical Science and Technology

Bearing fault diagnosis with morphological gradient wavelet

(2017) M.H. Khakipour et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Extreme Learning Machine Based on Stationary Wavelet Singular Values for Bearing Failure Diagnosis

(2017) Nibaldo RODRIGUEZ et al.   Studies in Informatics and Control

A hybrid fault diagnosis method based on second generation wavelet de-noising and local mean decomposition for rotating machinery

(2016) Zhiwen Liu et al.   ISA TRANSACTIONS

A supervised sparsity-based wavelet feature for bearing fault diagnosis

(2016) Cong Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A new approach based on OMA-empirical wavelet transforms for bearing fault diagnosis

(2016) Mourad Kedadouche et al.   MEASUREMENT

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

(2016) Jinglong Chen 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

Multi-class fault diagnosis of induction motor using Hilbert and Wavelet Transform

(2015) Pratyay Konar et al.   APPLIED SOFT COMPUTING

Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis

(2015) Hassen Keskes et al.   IEEE Transactions on Industrial Informatics

Bearing Defect Classification based on Individual Wavelet Local Fisher Discriminant Analysis with Particle Swarm Optimization

(2015) Mien Van et al.   IEEE Transactions on Industrial Informatics

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

Intelligent fault diagnosis of rolling element bearings using sparse wavelet energy based on overcomplete DWT and basis pursuit

(2015) Cong Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault

(2015) Chenxi Wu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Fault feature extraction of rolling element bearings based on wavelet packet transform and sparse representation theory

(2015) Cong Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Rolling element-bearing feature extraction based on combined wavelets and quantum-behaved particle swarm optimization

(2015) Shuai Zhang et al.   Journal of Mechanical Science and Technology

Fault diagnosis of rolling bearing based on second generation wavelet denoising and morphological filter

(2015) Lingjie Meng et al.   Journal of Mechanical Science and Technology

Smoothness index-guided Bayesian inference for determining joint posterior probability distributions of anti-symmetric real Laplace wavelet parameters for identification of different bearing faults

(2015) Dong Wang et al.   JOURNAL OF SOUND AND VIBRATION

Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy

(2015) Long Han et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Weak fault signature extraction of rotating machinery using flexible analytic wavelet transform

(2015) ChunLin Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform

(2015) Wangpeng He et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis

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

Two-stage feature selection for bearing fault diagnosis based on dual-tree complex wavelet transform and empirical mode decomposition

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

Feature extraction of rolling bearing’s early weak fault based on EEMD and tunable Q-factor wavelet transform

(2014) Hongchao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Invariant Scattering Convolution Networks

(2013) Joan Bruna et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Intelligent fault diagnosis and prognosis approach for rotating machinery integrating wavelet transform, principal component analysis, and artificial neural networks

(2013) Zhenyou Zhang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A kurtosis-guided adaptive demodulation technique for bearing fault detection based on tunable-Q wavelet transform

(2013) Jiesi Luo et al.   MEASUREMENT SCIENCE and TECHNOLOGY

The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection

(2013) Peter W. Tse et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis

(2013) Hongkai Jiang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wavelet leaders multifractal features based fault diagnosis of rotating mechanism

(2013) Wenliao Du et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multiwavelet transform and its applications in mechanical fault diagnosis – A review

(2013) Hailiang Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A pseudo wavelet system-based vibration signature extracting method for rotating machinery fault detection

(2013) BinQiang Chen et al.   Science China-Technological Sciences

Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to rotating machinery fault diagnosis

(2013) WangPeng He et al.   Science China-Technological Sciences

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

(2013) Ruqiang Yan et al.   SIGNAL PROCESSING

An Analytic Wavelet Transform With a Flexible Time-Frequency Covering

(2012) Ilker Bayram   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Compound faults detection of rotating machinery using improved adaptive redundant lifting multiwavelet

(2012) Jinglong Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wavelet Transform With Tunable Q-Factor

(2011) Ivan W. Selesnick   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Multiwavelet denoising with improved neighboring coefficients for application on rolling bearing fault diagnosis

(2010) Xiaodong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Frequency-Domain Design of Overcomplete Rational-Dilation Wavelet Transforms

(2009) Ilker Bayram et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Overcomplete Discrete Wavelet Transforms With Rational Dilation Factors

(2008) Ilker Bayram et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Detection of power disturbances using morphological gradient wavelet

(2007) T.Y. Ji et al.   SIGNAL PROCESSING