A compound fault diagnosis method of rolling bearing based on wavelet scattering transform and improved soft threshold denoising algorithm

A novel intelligent fault diagnosis method of rolling bearing based on two-stream feature fusion convolutional neural network

(2021) Feng Xue et al.   MEASUREMENT

Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed

(2021) Anil Kumar et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Fault feature extraction of rolling element bearing based on TPE-EVMD

(2021) Danchen Zhu et al.   MEASUREMENT

Joint discriminative and shared dictionary learning with dictionary extension strategy for bearing fault classification

(2021) Lei Wang et al.   MEASUREMENT

Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump

(2021) Anil Kumar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel ITD-GSP-based characteristic extraction method for compound faults of rolling bearing

(2020) Mingyue Yu et al.   MEASUREMENT

An FSK-MBCNN based method for compound fault diagnosis in wind turbine gearboxes

(2020) Jianqun Zhang et al.   MEASUREMENT

Multi-source feature extraction of rolling bearing compression measurement signal based on independent component analysis

(2020) Jing Li 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

Vibration signal based condition monitoring of mechanical equipment with scattering transform

(2019) P. S. Ambika et al.   Journal of Mechanical Science and Technology

An iterative wavelet threshold for signal denoising

(2019) Fábio M. Bayer et al.   SIGNAL PROCESSING

Compound faults diagnosis based on customized balanced multiwavelets and adaptive maximum correlated kurtosis deconvolution

(2019) Lianhuan Hong et al.   MEASUREMENT

Fault diagnosis of rolling element bearing based on symmetric cross entropy of neutrosophic sets

(2019) Anil Kumar et al.   MEASUREMENT

Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data

(2019) Ruyi Huang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Audio sounds classification using scattering features and support vectors machines for medical surveillance

(2018) Sameh Souli et al.   APPLIED ACOUSTICS

Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition

(2018) K. Manjusha et al.   International Journal on Document Analysis and Recognition

Scattering transform and LSPTSVM based fault diagnosis of rotating machinery

(2018) Shangjun Ma et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Scattering transform and sparse linear classifiers for art authentication

(2018) Roberto Leonarduzzi et al.   SIGNAL PROCESSING

Gear fault diagnosis based on a new wavelet adaptive threshold de-noising method

(2018) Jianhua Cai   INDUSTRIAL LUBRICATION AND TRIBOLOGY

A Walsh transform-based Teager energy operator demodulation method to detect faults in axial piston pumps

(2018) Qiang Gao et al.   MEASUREMENT

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

A fault detection strategy using the enhancement ensemble empirical mode decomposition and random decrement technique

(2017) Jiawei Xiang et al.   MICROELECTRONICS RELIABILITY

Diagnosis of compound faults of rolling bearings through adaptive maximum correlated kurtosis deconvolution

(2016) Guiji Tang et al.   Journal of Mechanical Science and Technology

Understanding deep convolutional networks

(2016) Stéphane Mallat   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Rolling element bearing fault detection using PPCA and spectral kurtosis

(2015) Jiawei Xiang et al.   MEASUREMENT

Deep Scattering Spectrum

(2014) Joakim Anden et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition

(2014) Huaqing Wang et al.   PLoS One

Invariant Scattering Convolution Networks

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

Group Invariant Scattering

(2012) Stéphane Mallat   COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS

EEMD method and WNN for fault diagnosis of locomotive roller bearings

(2010) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Nonstationary Approaches to Trend Identification and Denoising of Measured Power System Oscillations

(2009) A.R. Messina et al.   IEEE TRANSACTIONS ON POWER SYSTEMS