FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4360820227> ?p ?o ?g. }

• W4360820227 endingPage "107219" @default.
• W4360820227 startingPage "107219" @default.
• W4360820227 abstract "The turnout switch machine is the critical equipment of the signal system, which has a significant influence on the efficiency and safety of train operation. However, most fault diagnosis technologies of the switch machine are difficult to distinguish samples with similar categories, which leads to the low diagnostic accuracy. Thus, a fault diagnosis method based on improved LightGBM is proposed to deal with the above problems. Time domain features and multi-scale permutation entropy are extracted to capture the weak fault. Moreover, an adaptive feature selection (AFS) method is presented to reduce redundant features. Especially an improved Focal Loss (IFL) function is established, which improves the ability to distinguish samples of similar features in a multi-classification model. The three-phase action current from the switch machine is utilized to testify to the proposed method and compare it with other methods. The experimental results show that the diagnosis accuracies of this method in the normal-reverse and reverse-normal conversion process reach 98.47 % and 96.09 %, respectively, which is well-suitable for practical application." @default.
• W4360820227 created "2023-03-25" @default.
• W4360820227 creator A5006460081 @default.
• W4360820227 creator A5007009539 @default.
• W4360820227 creator A5057186171 @default.
• W4360820227 creator A5063741734 @default.
• W4360820227 creator A5075310507 @default.
• W4360820227 creator A5083049914 @default.
• W4360820227 creator A5084797851 @default.
• W4360820227 date "2023-06-01" @default.
• W4360820227 modified "2023-10-17" @default.
• W4360820227 title "Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM" @default.
• W4360820227 cites W1678356000 @default.
• W4360820227 cites W1808644423 @default.
• W4360820227 cites W1964618263 @default.
• W4360820227 cites W1978994389 @default.
• W4360820227 cites W2082771625 @default.
• W4360820227 cites W2093266575 @default.
• W4360820227 cites W2145202303 @default.
• W4360820227 cites W2418068396 @default.
• W4360820227 cites W2546427370 @default.
• W4360820227 cites W2582998917 @default.
• W4360820227 cites W2765513165 @default.
• W4360820227 cites W2904518811 @default.
• W4360820227 cites W2907871993 @default.
• W4360820227 cites W2923535998 @default.
• W4360820227 cites W2935023724 @default.
• W4360820227 cites W2953503709 @default.
• W4360820227 cites W2963351448 @default.
• W4360820227 cites W2981863253 @default.
• W4360820227 cites W3019898994 @default.
• W4360820227 cites W3049162560 @default.
• W4360820227 cites W3087026380 @default.
• W4360820227 cites W3093573961 @default.
• W4360820227 cites W3102476541 @default.
• W4360820227 cites W3110023814 @default.
• W4360820227 cites W3127564873 @default.
• W4360820227 cites W3129040422 @default.
• W4360820227 cites W3155778618 @default.
• W4360820227 cites W3169880793 @default.
• W4360820227 cites W3176980375 @default.
• W4360820227 cites W3201115733 @default.
• W4360820227 cites W3201135244 @default.
• W4360820227 cites W3202822534 @default.
• W4360820227 cites W4206381317 @default.
• W4360820227 cites W4210715608 @default.
• W4360820227 cites W4211135803 @default.
• W4360820227 cites W4225672652 @default.
• W4360820227 cites W4285195459 @default.
• W4360820227 cites W2787987285 @default.
• W4360820227 doi "https://doi.org/10.1016/j.engfailanal.2023.107219" @default.
• W4360820227 hasPublicationYear "2023" @default.
• W4360820227 type Work @default.
• W4360820227 citedByCount "11" @default.
• W4360820227 countsByYear W43608202272023 @default.
• W4360820227 crossrefType "journal-article" @default.
• W4360820227 hasAuthorship W4360820227A5006460081 @default.
• W4360820227 hasAuthorship W4360820227A5007009539 @default.
• W4360820227 hasAuthorship W4360820227A5057186171 @default.
• W4360820227 hasAuthorship W4360820227A5063741734 @default.
• W4360820227 hasAuthorship W4360820227A5075310507 @default.
• W4360820227 hasAuthorship W4360820227A5083049914 @default.
• W4360820227 hasAuthorship W4360820227A5084797851 @default.
• W4360820227 hasConcept C106301342 @default.
• W4360820227 hasConcept C111919701 @default.
• W4360820227 hasConcept C121332964 @default.
• W4360820227 hasConcept C12267149 @default.
• W4360820227 hasConcept C127313418 @default.
• W4360820227 hasConcept C127413603 @default.
• W4360820227 hasConcept C138885662 @default.
• W4360820227 hasConcept C148483581 @default.
• W4360820227 hasConcept C153180895 @default.
• W4360820227 hasConcept C154945302 @default.
• W4360820227 hasConcept C165205528 @default.
• W4360820227 hasConcept C175551986 @default.
• W4360820227 hasConcept C2776401178 @default.
• W4360820227 hasConcept C41008148 @default.
• W4360820227 hasConcept C41895202 @default.
• W4360820227 hasConcept C62520636 @default.
• W4360820227 hasConcept C98045186 @default.
• W4360820227 hasConceptScore W4360820227C106301342 @default.
• W4360820227 hasConceptScore W4360820227C111919701 @default.
• W4360820227 hasConceptScore W4360820227C121332964 @default.
• W4360820227 hasConceptScore W4360820227C12267149 @default.
• W4360820227 hasConceptScore W4360820227C127313418 @default.
• W4360820227 hasConceptScore W4360820227C127413603 @default.
• W4360820227 hasConceptScore W4360820227C138885662 @default.
• W4360820227 hasConceptScore W4360820227C148483581 @default.
• W4360820227 hasConceptScore W4360820227C153180895 @default.
• W4360820227 hasConceptScore W4360820227C154945302 @default.
• W4360820227 hasConceptScore W4360820227C165205528 @default.
• W4360820227 hasConceptScore W4360820227C175551986 @default.
• W4360820227 hasConceptScore W4360820227C2776401178 @default.
• W4360820227 hasConceptScore W4360820227C41008148 @default.
• W4360820227 hasConceptScore W4360820227C41895202 @default.
• W4360820227 hasConceptScore W4360820227C62520636 @default.
• W4360820227 hasConceptScore W4360820227C98045186 @default.
• W4360820227 hasLocation W43608202271 @default.

• next