Matches in SemOpenAlex for { <https://semopenalex.org/work/W2914334963> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2914334963 endingPage "535" @default.
- W2914334963 startingPage "526" @default.
- W2914334963 abstract "Abstract Vibration failure is a common problem in most rotating machinery, and vibration fault diagnosis is an important means of ensuring stable equipment operation. The present work proposes a rotor vibration fault diagnosis approach that transforms multiple vibration signals into symmetrized dot pattern (SDP) images, and then identifies the SDP graphical feature characteristic of different vibration states using a convolutional neural network (CNN). SDP images reveal different vibration states in a simple and intuitive manner. In addition, a CNN can reliably and accurately identify vibration faults by extracting the feature information of SDP images adaptively through deep learning. The proposed approach is tested experimentally using a rotor vibration test bed, and the results obtained are compared to those obtained with an equivalent CNN-based image recognition approach using orbit plot images. The rotor fault diagnosis precision is improved from 92% to 96.5%." @default.
- W2914334963 created "2019-02-21" @default.
- W2914334963 creator A5029708834 @default.
- W2914334963 creator A5036431951 @default.
- W2914334963 creator A5050846107 @default.
- W2914334963 creator A5052115110 @default.
- W2914334963 creator A5059843808 @default.
- W2914334963 creator A5062291678 @default.
- W2914334963 creator A5068689540 @default.
- W2914334963 date "2019-05-01" @default.
- W2914334963 modified "2023-09-29" @default.
- W2914334963 title "Rotor fault diagnosis using a convolutional neural network with symmetrized dot pattern images" @default.
- W2914334963 cites W1919958626 @default.
- W2914334963 cites W2020583287 @default.
- W2914334963 cites W2063526924 @default.
- W2914334963 cites W2076063813 @default.
- W2914334963 cites W2090042335 @default.
- W2914334963 cites W2219903032 @default.
- W2914334963 cites W2338025117 @default.
- W2914334963 cites W2461729787 @default.
- W2914334963 cites W2555062391 @default.
- W2914334963 cites W2556345765 @default.
- W2914334963 cites W2611655888 @default.
- W2914334963 doi "https://doi.org/10.1016/j.measurement.2019.02.022" @default.
- W2914334963 hasPublicationYear "2019" @default.
- W2914334963 type Work @default.
- W2914334963 sameAs 2914334963 @default.
- W2914334963 citedByCount "64" @default.
- W2914334963 countsByYear W29143349632019 @default.
- W2914334963 countsByYear W29143349632020 @default.
- W2914334963 countsByYear W29143349632021 @default.
- W2914334963 countsByYear W29143349632022 @default.
- W2914334963 countsByYear W29143349632023 @default.
- W2914334963 crossrefType "journal-article" @default.
- W2914334963 hasAuthorship W2914334963A5029708834 @default.
- W2914334963 hasAuthorship W2914334963A5036431951 @default.
- W2914334963 hasAuthorship W2914334963A5050846107 @default.
- W2914334963 hasAuthorship W2914334963A5052115110 @default.
- W2914334963 hasAuthorship W2914334963A5059843808 @default.
- W2914334963 hasAuthorship W2914334963A5062291678 @default.
- W2914334963 hasAuthorship W2914334963A5068689540 @default.
- W2914334963 hasConcept C121332964 @default.
- W2914334963 hasConcept C127313418 @default.
- W2914334963 hasConcept C153180895 @default.
- W2914334963 hasConcept C154945302 @default.
- W2914334963 hasConcept C165205528 @default.
- W2914334963 hasConcept C17281054 @default.
- W2914334963 hasConcept C175551986 @default.
- W2914334963 hasConcept C31972630 @default.
- W2914334963 hasConcept C41008148 @default.
- W2914334963 hasConcept C62520636 @default.
- W2914334963 hasConcept C81363708 @default.
- W2914334963 hasConceptScore W2914334963C121332964 @default.
- W2914334963 hasConceptScore W2914334963C127313418 @default.
- W2914334963 hasConceptScore W2914334963C153180895 @default.
- W2914334963 hasConceptScore W2914334963C154945302 @default.
- W2914334963 hasConceptScore W2914334963C165205528 @default.
- W2914334963 hasConceptScore W2914334963C17281054 @default.
- W2914334963 hasConceptScore W2914334963C175551986 @default.
- W2914334963 hasConceptScore W2914334963C31972630 @default.
- W2914334963 hasConceptScore W2914334963C41008148 @default.
- W2914334963 hasConceptScore W2914334963C62520636 @default.
- W2914334963 hasConceptScore W2914334963C81363708 @default.
- W2914334963 hasLocation W29143349631 @default.
- W2914334963 hasOpenAccess W2914334963 @default.
- W2914334963 hasPrimaryLocation W29143349631 @default.
- W2914334963 hasRelatedWork W2175746458 @default.
- W2914334963 hasRelatedWork W2613736958 @default.
- W2914334963 hasRelatedWork W2732542196 @default.
- W2914334963 hasRelatedWork W2738221750 @default.
- W2914334963 hasRelatedWork W2760085659 @default.
- W2914334963 hasRelatedWork W2912288872 @default.
- W2914334963 hasRelatedWork W3012978760 @default.
- W2914334963 hasRelatedWork W3081496756 @default.
- W2914334963 hasRelatedWork W3093612317 @default.
- W2914334963 hasRelatedWork W4304820710 @default.
- W2914334963 hasVolume "138" @default.
- W2914334963 isParatext "false" @default.
- W2914334963 isRetracted "false" @default.
- W2914334963 magId "2914334963" @default.
- W2914334963 workType "article" @default.