Research graph
References from Diagnosis of compound fault of bearing with improve 1D local binary patterns and vector bispectrum. Local targets link to admitted publications; unresolved targets remain external evidence.
Reweighted generalized minimax-concave sparse regularization and application in machinery fault diagnosis
10.1016/j.isatra.2020.05.043 · 2020 · External reference
Fault diagnosis of rolling bearing based on multiscale one-dimensional hybrid binary pattern
10.1016/j.measurement.2021.109552 · 2021 · External reference
Fusion fault diagnosis approach to rolling bearing with vibrational and acoustic emission signals
10.32604/cmes.2021.016980 · 2021 · External reference
Combined square envelope spectrum by integrating multiband bearing fault information
10.1109/jsen.2022.3227244 · 2023 · External reference
GMPSO-VMD algorithm and its application to rolling bearing fault feature extraction
10.3390/s20071946 · 2020 · External reference
Intelligent data expansion approach of vibration gray texture images of rolling bearing based on improved WGAN-GP
10.1177/16878132221086132 · 2022 · External reference
A completed modeling of local binary pattern operator for texture classification
10.1109/tip.2010.2044957 · 2010 · External reference
An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis
10.1016/j.asoc.2019.106019 · 2020 · External reference
An intelligent approach for bearing fault diagnosis: Combination of 1D-LBP and GRA
10.1109/access.2020.3011980 · 2020 · External reference
Intelligent fault diagnosis method based on vector-bispectrum
10.3901/jme.2011.11.064 · 2011 · External reference
A damage severity assessment method for bearings with rolling element damage
2013 · External reference
Composite fault diagnosis for rolling bearing based on parameter-optimized VMD
10.1016/j.measurement.2022.111637 · 2022 · External reference
Rolling bearing fault diagnosis method based on multi-sensor two-stage fusion
10.1088/1361-6501/ac8894 · 2022 · External reference
Local lowest-rank dynamic mode decomposition for transient feature extraction of rolling bearings
10.1016/j.isatra.2022.07.026 · 2023 · External reference
Feature based local binary pattern for rotation invariant texture classification
10.1016/j.eswa.2017.07.007 · 2017 · External reference
Fault diagnosis of bearings using an intelligence-based autoregressive learning Lyapunov algorithm
10.2991/ijcis.d.201228.002 · 2021 · External reference
Effective and fast binarization method for combined degradation on ancient documents
10.1016/j.heliyon.2019.e02613 · 2019 · External reference
Artificial neural network based fault diagnostics of rolling element bearings using time-domain features
10.1006/mssp.2001.1462 · 2003 · External reference
Hybrid LBP and HOG features with particle swarm optimization for facial emotion recognition
2025 · External reference
Fault diagnosis of induction motors utilizing local binary pattern-based texture analysis
10.1186/1687-5281-2013-29 · External reference
Generalized stepwise demodulation transform and synchro squeezing for time–frequency analysis and bearing fault diagnosis
10.1016/j.jsv.2016.01.015 · 2016 · External reference
Improved mode decomposition method for vibration signal denoising of aero-engine shaft bearing
10.1016/j.ymssp.2025.113201 · 2025 · External reference
Bispectrum texture feature manifold for feature extraction in rolling bearing fault diagnosis
10.1155/2019/3805729 · External reference
Rolling bearing fault detection using autocorrelation based morphological filtering and empirical mode decomposition
10.5755/j01.mech.24.6.22471 · 2019 · External reference
Vibration characterization of rolling bearings with compound fault features under multiple interference factors
10.1371/journal.pone.0297935 · 2024 · External reference
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
10.1016/j.ymssp.2023.110664 · 2023 · External reference
Remaining useful life prediction of rolling bearings based on CNN-GRU-MSA with multi-channel feature fusion
10.1080/10589759.2024.2408670 · 2024 · External reference
A feature extraction method using VMD and improved envelope spectrum entropy for rolling bearing fault diagnosis
10.1109/jsen.2022.3232707 · 2023 · External reference
A three-dimensional vibration data compression method for rolling bearing condition monitoring
10.1109/tim.2023.3237848 · 2023 · External reference
Feature extraction of rotor-stator rubbing faults based on harmonic fusion vector bispectrum, ITD and Hjorth parameters
10.1177/09544100221107256 · 2023 · External reference
Combined failure identification of intermediate bearing in aeroengine based on wavelet transform, second-order difference, and 1D-LBP
10.1177/14759217241270747 · 2025 · External reference
Fault identification for rolling bearing based on ITD-ILBP-Hankel matrix
10.1016/j.isatra.2025.08.029 · 2025 · External reference
Face anti-spoofing detection based on DWT-LBP-DCT features
10.1016/j.image.2020.115990 · 2020 · External reference
Intelligent fault diagnosis of rolling bearings based on continuous wavelet transform-multiscale feature fusion and improved channel attention mechanism
10.17531/ein.2023.1.16 · 2023 · External reference
Bearing fault diagnosis of single-channel data by a 3D DCN with bilinear LBP and modified KPCA
10.1007/s42835-023-01453-8 · 2023 · External reference
Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
10.1016/j.ress.2024.109964 · 2024 · External reference
Bearing fault diagnosis method based on morphological filtering, time-delayed autocorrelation and time-frequency slice analysis
2014 · External reference
CQTBEW algorithm and its application in bearing early fault diagnosis
10.13433/j.cnki.1003-8728.20200322 · 2022 · External reference
