Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382600659> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4382600659 endingPage "12" @default.
- W4382600659 startingPage "1" @default.
- W4382600659 abstract "In order to solve the problem of low abnormal diagnosis rate of self-powered power supply system, an improved grey wolf optimization-support vector machine (GWO-SVM) algorithm combined with maximal information coefficient (MIC) are proposed. First, the feature sets of 11 kinds of monitoring data are optimized and selected based on MIC for self-powered power supply system. By eliminating redundant variables and insensitive variables, feature variable sets with great influence on abnormal diagnosis are selected. Second, by upgrading the selection method of control parameter <math xmlns=http://www.w3.org/1998/Math/MathML id=M1> <mi>σ</mi> </math> from linear to nonlinear, an improved GWO-SVM algorithm that can take into account both global and local search capabilities is proposed. Furthermore, the optimal feature set which has great influence on abnormal diagnosis is selected as the input of the proposed algorithm, and then the abnormal diagnosis method combining the improved GWO-SVM with MIC is constructed for self-powered power supply system. The specific algorithm flow and step are given. Finally, compared with other algorithm, the simulation experiments show that the GWO-SVM method has a higher accuracy and a higher recall rate for the abnormal diagnosis in the self-powered power supply system." @default.
- W4382600659 created "2023-06-30" @default.
- W4382600659 creator A5039856246 @default.
- W4382600659 creator A5047339385 @default.
- W4382600659 creator A5091392372 @default.
- W4382600659 date "2023-06-29" @default.
- W4382600659 modified "2023-10-15" @default.
- W4382600659 title "Abnormal Diagnosis Method of Self-Powered Power Supply System Based on Improved GWO-SVM" @default.
- W4382600659 cites W2061438946 @default.
- W4382600659 cites W2732796807 @default.
- W4382600659 cites W3153954529 @default.
- W4382600659 cites W3159133710 @default.
- W4382600659 cites W3183036498 @default.
- W4382600659 cites W3186962463 @default.
- W4382600659 cites W3191617255 @default.
- W4382600659 cites W4200163390 @default.
- W4382600659 cites W4288074560 @default.
- W4382600659 doi "https://doi.org/10.1155/2023/1981056" @default.
- W4382600659 hasPublicationYear "2023" @default.
- W4382600659 type Work @default.
- W4382600659 citedByCount "0" @default.
- W4382600659 crossrefType "journal-article" @default.
- W4382600659 hasAuthorship W4382600659A5039856246 @default.
- W4382600659 hasAuthorship W4382600659A5047339385 @default.
- W4382600659 hasAuthorship W4382600659A5091392372 @default.
- W4382600659 hasBestOaLocation W43826006591 @default.
- W4382600659 hasConcept C11413529 @default.
- W4382600659 hasConcept C121332964 @default.
- W4382600659 hasConcept C12267149 @default.
- W4382600659 hasConcept C126255220 @default.
- W4382600659 hasConcept C127413603 @default.
- W4382600659 hasConcept C138885662 @default.
- W4382600659 hasConcept C148483581 @default.
- W4382600659 hasConcept C154945302 @default.
- W4382600659 hasConcept C163258240 @default.
- W4382600659 hasConcept C177264268 @default.
- W4382600659 hasConcept C199360897 @default.
- W4382600659 hasConcept C2776401178 @default.
- W4382600659 hasConcept C33923547 @default.
- W4382600659 hasConcept C41008148 @default.
- W4382600659 hasConcept C41895202 @default.
- W4382600659 hasConcept C62520636 @default.
- W4382600659 hasConceptScore W4382600659C11413529 @default.
- W4382600659 hasConceptScore W4382600659C121332964 @default.
- W4382600659 hasConceptScore W4382600659C12267149 @default.
- W4382600659 hasConceptScore W4382600659C126255220 @default.
- W4382600659 hasConceptScore W4382600659C127413603 @default.
- W4382600659 hasConceptScore W4382600659C138885662 @default.
- W4382600659 hasConceptScore W4382600659C148483581 @default.
- W4382600659 hasConceptScore W4382600659C154945302 @default.
- W4382600659 hasConceptScore W4382600659C163258240 @default.
- W4382600659 hasConceptScore W4382600659C177264268 @default.
- W4382600659 hasConceptScore W4382600659C199360897 @default.
- W4382600659 hasConceptScore W4382600659C2776401178 @default.
- W4382600659 hasConceptScore W4382600659C33923547 @default.
- W4382600659 hasConceptScore W4382600659C41008148 @default.
- W4382600659 hasConceptScore W4382600659C41895202 @default.
- W4382600659 hasConceptScore W4382600659C62520636 @default.
- W4382600659 hasFunder F4320321001 @default.
- W4382600659 hasLocation W43826006591 @default.
- W4382600659 hasOpenAccess W4382600659 @default.
- W4382600659 hasPrimaryLocation W43826006591 @default.
- W4382600659 hasRelatedWork W1487844459 @default.
- W4382600659 hasRelatedWork W2001541796 @default.
- W4382600659 hasRelatedWork W2374776489 @default.
- W4382600659 hasRelatedWork W2385578008 @default.
- W4382600659 hasRelatedWork W2388875887 @default.
- W4382600659 hasRelatedWork W2779605423 @default.
- W4382600659 hasRelatedWork W3105251098 @default.
- W4382600659 hasRelatedWork W4225307033 @default.
- W4382600659 hasRelatedWork W2345184372 @default.
- W4382600659 hasRelatedWork W2615679974 @default.
- W4382600659 hasVolume "2023" @default.
- W4382600659 isParatext "false" @default.
- W4382600659 isRetracted "false" @default.
- W4382600659 workType "article" @default.