Rolling Bearing Fault Diagnosis Based on Optimal Notch Filter and Enhanced Singular Value Decomposition

Research on Weak Fault Extraction Method for Alleviating the Mode Mixing of LMD

(2018) Lin Zhang et al.   Entropy

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

(2018) Shuting Wan et al.   Entropy

The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed

(2018) Harkaitz Eguiraun et al.   Entropy

Fault diagnosis of rolling element bearing using a new optimal scale morphology analysis method

(2018) Xiaoan Yan et al.   ISA TRANSACTIONS

Multi-Scale Stochastic Resonance Spectrogram for fault diagnosis of rolling element bearings

(2018) Qingbo He et al.   JOURNAL OF SOUND AND VIBRATION

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

(2018) Yueheng Song et al.   MEASUREMENT

Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals

(2018) Adam Glowacz et al.   MEASUREMENT

The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis

(2018) Ali Moshrefzadeh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Repetitive transient extraction for machinery fault diagnosis using multiscale fractional order entropy infogram

(2018) Xuefang Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform

(2018) et al.   SENSORS

Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition

(2018) Rui Yuan et al.   SENSORS

A Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise

(2017) Zhijian Wang et al.   Entropy

Fault diagnosis of wind turbine bearing based on variational mode decomposition and Teager energy operator

(2017) Hongshan Zhao et al.   IET Renewable Power Generation

Spectral negentropy based sidebands and demodulation analysis for planet bearing fault diagnosis

(2017) Zhipeng Feng et al.   JOURNAL OF SOUND AND VIBRATION

Minimum entropy deconvolution optimized sinusoidal synthesis and its application to vibration based fault detection

(2017) Gang Li et al.   JOURNAL OF SOUND AND VIBRATION

Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution

(2017) Jimeng Li et al.   JOURNAL OF SOUND AND VIBRATION

A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery

(2017) Ming Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Mechanical compound faults extraction based on improved frequency domain blind deconvolution algorithm

(2017) Zeguang Yi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault detection method for railway wheel flat using an adaptive multiscale morphological filter

(2017) Yifan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings

(2017) Yonghao Miao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings

(2017) Peng Sun et al.   SENSORS

Analysis of frequency estimation MSE for all-pass-based adaptive IIR notch filters with normalized lattice structure

(2017) Shunsuke Koshita et al.   SIGNAL PROCESSING

Incipient Fault Feature Extraction of Rolling Bearings Using Autocorrelation Function Impulse Harmonic to Noise Ratio Index Based SVD and Teager Energy Operator

(2017) Kai Zheng et al.   Applied Sciences-Basel

On Multi-Scale Entropy Analysis of Order-Tracking Measurement for Bearing Fault Diagnosis under Variable Speed

(2016) Tian-Yau Wu et al.   Entropy

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 new approach for selecting the number of the eigenvalues in singular spectrum analysis

(2016) Nader Alharbi et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings

(2016) Yonghao Miao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Compound fault diagnosis of rotating machinery based on OVMD and a 1.5-dimension envelope spectrum

(2016) Xiaoan Yan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

(2016) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The infogram: Entropic evidence of the signature of repetitive transients

(2016) Jerome Antoni   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Research of singular value decomposition based on slip matrix for rolling bearing fault diagnosis

(2015) Feiyun Cong et al.   JOURNAL OF SOUND AND VIBRATION

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

(2015) Xiaoyuan Zhang et al.   MEASUREMENT

Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum

(2015) Yong Lv et al.   SENSORS

A novel application of Lucy–Richardson deconvolution: bearing fault diagnosis

(2013) A Santhana Raj et al.   JOURNAL OF VIBRATION AND CONTROL

Selection of effective singular values using difference spectrum and its application to fault diagnosis of headstock

(2011) Xuezhi Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING