FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308506791> ?p ?o ?g. }

• W4308506791 endingPage "8331" @default.
• W4308506791 startingPage "8331" @default.
• W4308506791 abstract "Fault detection of the electric vehicle battery system is vital for safe driving, energy economy, and lifetime extension. This paper proposes a data-driven method to achieve early and accurate battery system fault detection to realize rapid early warning. The method first adopts the support vector data description model mapping the feature of unlabeled voltage and temperature into a minimum volume hypersphere in high-dimensional space. When the feature is located outside the hypersphere, it is judged to be faulty. Then, to overcome the problem of hyperparameters selection, Bayesian optimization and a small amount of label data are used to iteratively train the model. This step can greatly improve the fault detection ability of the model, which is conducive to mining early and minor faults. Finally, the proposed model is compared with three unsupervised fault detection models, principal component analysis, kernel principal component analysis, and support vector data description to validate the performance of fault detection and robustness, respectively. The experimental results show that: 1. the proposed model has high detection accuracy in all four fault datasets, especially in the highly concealed cumulative short-circuit fault, which is substantially ahead of the other three models; and 2. The proposed model has higher and more stable accuracy than the other three models even in the case of a large range of signal-to-noise ratio." @default.
• W4308506791 created "2022-11-12" @default.
• W4308506791 creator A5004586541 @default.
• W4308506791 creator A5010008442 @default.
• W4308506791 creator A5014390459 @default.
• W4308506791 creator A5041904245 @default.
• W4308506791 creator A5087491823 @default.
• W4308506791 date "2022-11-08" @default.
• W4308506791 modified "2023-09-26" @default.
• W4308506791 title "High-Precision Fault Detection for Electric Vehicle Battery System Based on Bayesian Optimization SVDD" @default.
• W4308506791 cites W1887369574 @default.
• W4308506791 cites W1994005439 @default.
• W4308506791 cites W2020408086 @default.
• W4308506791 cites W2092229687 @default.
• W4308506791 cites W2100294832 @default.
• W4308506791 cites W2208937774 @default.
• W4308506791 cites W2500497293 @default.
• W4308506791 cites W2554940833 @default.
• W4308506791 cites W2568828645 @default.
• W4308506791 cites W2621676962 @default.
• W4308506791 cites W2624543473 @default.
• W4308506791 cites W2781764888 @default.
• W4308506791 cites W2782694030 @default.
• W4308506791 cites W2789790972 @default.
• W4308506791 cites W2790327493 @default.
• W4308506791 cites W2944737657 @default.
• W4308506791 cites W2981984647 @default.
• W4308506791 cites W2990759177 @default.
• W4308506791 cites W2997757557 @default.
• W4308506791 cites W3010490860 @default.
• W4308506791 cites W3025598179 @default.
• W4308506791 cites W3041428151 @default.
• W4308506791 cites W3087709927 @default.
• W4308506791 cites W3088523737 @default.
• W4308506791 cites W3096853769 @default.
• W4308506791 cites W3127658736 @default.
• W4308506791 cites W3153268347 @default.
• W4308506791 cites W3169470951 @default.
• W4308506791 cites W4232875659 @default.
• W4308506791 cites W4293769861 @default.
• W4308506791 doi "https://doi.org/10.3390/en15228331" @default.
• W4308506791 hasPublicationYear "2022" @default.
• W4308506791 type Work @default.
• W4308506791 citedByCount "7" @default.
• W4308506791 countsByYear W43085067912022 @default.
• W4308506791 countsByYear W43085067912023 @default.
• W4308506791 crossrefType "journal-article" @default.
• W4308506791 hasAuthorship W4308506791A5004586541 @default.
• W4308506791 hasAuthorship W4308506791A5010008442 @default.
• W4308506791 hasAuthorship W4308506791A5014390459 @default.
• W4308506791 hasAuthorship W4308506791A5041904245 @default.
• W4308506791 hasAuthorship W4308506791A5087491823 @default.
• W4308506791 hasBestOaLocation W43085067911 @default.
• W4308506791 hasConcept C104317684 @default.
• W4308506791 hasConcept C12267149 @default.
• W4308506791 hasConcept C124101348 @default.
• W4308506791 hasConcept C127413603 @default.
• W4308506791 hasConcept C148483581 @default.
• W4308506791 hasConcept C152745839 @default.
• W4308506791 hasConcept C153180895 @default.
• W4308506791 hasConcept C154945302 @default.
• W4308506791 hasConcept C172707124 @default.
• W4308506791 hasConcept C185592680 @default.
• W4308506791 hasConcept C27438332 @default.
• W4308506791 hasConcept C41008148 @default.
• W4308506791 hasConcept C55493867 @default.
• W4308506791 hasConcept C63479239 @default.
• W4308506791 hasConcept C83665646 @default.
• W4308506791 hasConceptScore W4308506791C104317684 @default.
• W4308506791 hasConceptScore W4308506791C12267149 @default.
• W4308506791 hasConceptScore W4308506791C124101348 @default.
• W4308506791 hasConceptScore W4308506791C127413603 @default.
• W4308506791 hasConceptScore W4308506791C148483581 @default.
• W4308506791 hasConceptScore W4308506791C152745839 @default.
• W4308506791 hasConceptScore W4308506791C153180895 @default.
• W4308506791 hasConceptScore W4308506791C154945302 @default.
• W4308506791 hasConceptScore W4308506791C172707124 @default.
• W4308506791 hasConceptScore W4308506791C185592680 @default.
• W4308506791 hasConceptScore W4308506791C27438332 @default.
• W4308506791 hasConceptScore W4308506791C41008148 @default.
• W4308506791 hasConceptScore W4308506791C55493867 @default.
• W4308506791 hasConceptScore W4308506791C63479239 @default.
• W4308506791 hasConceptScore W4308506791C83665646 @default.
• W4308506791 hasIssue "22" @default.
• W4308506791 hasLocation W43085067911 @default.
• W4308506791 hasLocation W43085067912 @default.
• W4308506791 hasOpenAccess W4308506791 @default.
• W4308506791 hasPrimaryLocation W43085067911 @default.
• W4308506791 hasRelatedWork W1579270119 @default.
• W4308506791 hasRelatedWork W2029718921 @default.
• W4308506791 hasRelatedWork W2120337110 @default.
• W4308506791 hasRelatedWork W2358824780 @default.
• W4308506791 hasRelatedWork W2380927352 @default.
• W4308506791 hasRelatedWork W2383110306 @default.
• W4308506791 hasRelatedWork W3178621026 @default.
• W4308506791 hasRelatedWork W2137598809 @default.
• W4308506791 hasRelatedWork W2187500075 @default.
• W4308506791 hasRelatedWork W2345184372 @default.

• next