A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.02.036
Abstract: Abstract Singular value decomposition (SVD), as an effective signal denoising tool, has been attracting considerable attention in recent years. The basic idea behind SVD denoising is to preserve the singular components (SCs) with significant singular… read more here.
Keywords: fault feature; feature; weak fault; signal denoising ... See more keywords
A new weak fault diagnosis approach for train bearings based on improved grey wolf optimizer and adaptive variational mode decomposition
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd713
Abstract: Accurately identifying the health status of train running gear bearings is crucial to ensure the quality of operation. As the early fault information of bearings is weak and submerged in the complex noise environment, which… read more here.
Keywords: fault diagnosis; train; fault; mode ... See more keywords
Mining of Weak Fault Information Adaptively Based on DNN Inversion Estimation for Fault Diagnosis of Rotating Machinery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3136235
Abstract: Fault feature extraction plays a significant role in bearing fault diagnosis, especially in incipient fault period. Recently, deep neural network has been favored by many researchers due to its excellent hierarchical feature extraction capabilities. The… read more here.
Keywords: network; fault diagnosis; diagnosis; fault information ... See more keywords
A progressive decomposing and double screening strategy of VMD for weak fault extraction of hoisting machinery
Sign Up to like & getrecommendations! Published in 2022 at "Structural Health Monitoring"
DOI: 10.1177/14759217221105646
Abstract: To alleviate the difficulty of extracting weak fault features of hoisting machinery, a progressive decomposing and double screening strategy of variational mode decomposition (VMD) is presented in this paper. Firstly, the feasibility and effectiveness of… read more here.
Keywords: double screening; hoisting machinery; fault; strategy ... See more keywords
Feature extraction for rolling element bearing weak fault based on MOMEDA and ICEEMDAN
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Vibroengineering"
DOI: 10.21595/jve.2018.19309
Abstract: There are always the nonlinear and non-stationary characteristics and periodic pulse in vibration signals of rolling element bearings when there are partial faults in those bearings. Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise… read more here.
Keywords: fault; feature; weak fault; frequency ... See more keywords