Compound fault prediction of rolling bearing using multimedia data
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4419-1
Abstract: Catastrophic failure of mechanical systems due to faults occurring on rolling bearing is still a great challenge. These faults, which are of multiple type, are compounded in nature. Vibration analysis of multimedia signals is one… read more here.
Keywords: fault; cmf eemd; compound fault; rolling bearing ... See more keywords
A rolling bearing fault diagnosis strategy based on improved multiscale permutation entropy and least squares SVM
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-017-0514-5
Abstract: A novel rolling bearing fault diagnosis strategy is proposed based on Improved multiscale permutation entropy (IMPE), Laplacian score (LS) and Least squares support vector machine-Quantum behaved particle swarm optimization (QPSO-LSSVM). Entropy-based concepts have attracted attention… read more here.
Keywords: fault; entropy; bearing fault; rolling bearing ... See more keywords
Fault diagnosis method of rolling bearing based on deep belief network
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-018-1012-0
Abstract: A method based on the theory of deep learning and feature extraction and a fault diagnosis model of a rolling bearing based on deep belief network are proposed in this study considering the complex, nonlinear,… read more here.
Keywords: network; rolling bearing; fault diagnosis; method ... See more keywords
Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet.
Sign Up to like & getrecommendations! Published in 2017 at "ISA transactions"
DOI: 10.1016/j.isatra.2017.03.017
Abstract: Automatic and accurate identification of rolling bearing fault categories, especially for the fault severities and compound faults, is a challenge in rotating machinery fault diagnosis. For this purpose, a novel method called adaptive deep belief… read more here.
Keywords: adaptive deep; fault; bearing fault; rolling bearing ... See more keywords
An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.02.031
Abstract: Rolling bearings are important supporting components widely used in rotating machinery and are prone to failure, it is thus important to perform fault detection of rolling bearing quickly and accurately. Aiming at the problem that… read more here.
Keywords: fast spectral; fault; fault detection; spectral correlation ... See more keywords
A group sparse representation method in frequency domain with adaptive parameters optimization of detecting incipient rolling bearing fault
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2019.114931
Abstract: Abstract The periodic impulses are the most important signatures of rolling bearing failure, which are often buried by excessive background noise. It is challenging to extract the incipient periodic impulses in the vibration fault signal.… read more here.
Keywords: fault; method; group sparse; rolling bearing ... See more keywords
Rolling bearing performance degradation condition recognition based on mathematical morphological fractal dimension and fuzzy C-means
Sign Up to like & getrecommendations! Published in 2017 at "Measurement"
DOI: 10.1016/j.measurement.2017.05.033
Abstract: Abstract In allusion to performance degradation condition recognition issue for rolling bearing, a method based on mathematical morphological fractal dimension (MMFD as abbreviation) and fuzzy C-means algorithm (FCM as abbreviation) is proposed in this paper.… read more here.
Keywords: degradation; rolling bearing; performance degradation; condition recognition ... See more keywords
Multi-source feature extraction of rolling bearing compression measurement signal based on independent component analysis
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2020.108908
Abstract: Abstract With the update of the sampling rate, automation and computation, data volume is increasing, it's critical to reduce the burden on the real-time data processing and remote diagnostics. In this paper, a composite fault… read more here.
Keywords: compression; independent component; rolling bearing; fault diagnosis ... See more keywords
Research on rolling bearing fault diagnosis of small dataset based on a new optimal transfer learning network
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109285
Abstract: Abstract Due to limited conditions of production sites, only the small fault dataset (target dataset) of the rolling bearing can be collected, which leads to the failure construction of the effective deep learning network. Aiming… read more here.
Keywords: learning network; rolling bearing; transfer learning; network ... See more keywords
Investigation of friction and vibration performance of lithium complex grease containing nano-particles on rolling bearing
Sign Up to like & getrecommendations! Published in 2020 at "Tribology International"
DOI: 10.1016/j.triboint.2020.106761
Abstract: Abstract This paper presents a comparative study of the tribological and vibration performance of the synthesized lithium complex grease (LCG) containing Carbon black, Fe3O4 and Al2O3 nanoparticles on rolling bearing. The micromorphology, friction coefficient, worn… read more here.
Keywords: vibration; vibration performance; lithium complex; rolling bearing ... See more keywords
Fault diagnosis of rolling bearing based on empirical mode decomposition and improved manhattan distance in symmetrized dot pattern image
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2021.107817
Abstract: Abstract The vibration signal of rolling bearing is typical non-stationary signal, it is difficult for traditional time–frequency analysis technology to apply. Therefore, a novel fault diagnosis approach based on improved manhattan distance in Symmetrized Dot… read more here.
Keywords: improved manhattan; rolling bearing; manhattan distance; fault diagnosis ... See more keywords