FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387010752> ?p ?o ?g. }

• W4387010752 endingPage "11" @default.
• W4387010752 startingPage "1" @default.
• W4387010752 abstract "In this paper, a fault diagnosis method based on data augmentation technology is proposed to investigate the unequal length series by combining Dynamic Time Warping (DTW) with Deep Residual Network (Resnet) for excavator, where the hydraulic and power units are operated in a hybrid manner. A data augmentation method is designed to segment time series with unequal length by enhancing appropriate statistical features based on the working characteristics of excavators. Based on instantaneous calculation, an optimized DTW algorithm is proposed to reduce the calculation cost and ensure the effectiveness of the searched optimal warping path. In order to achieve fault diagnosis in industrial applications, a DTW-Resnet model combining optimized DTW algorithm with Resnet model is proposed, which overcomes the disadvantage of neural networks being unable to learn time series with unequal length easily. Results with respect to SANY excavator datasets and four publicly available datasets have well indicated that the proposed method is provided with preferable diagnostic performance compared with state-of-the-art neural networks and traditional models. Furthermore, the ablative experiment shows that the data augmentation and optimized DTW are of great significance to improve the classification accuracy of the model." @default.
• W4387010752 created "2023-09-26" @default.
• W4387010752 creator A5004747956 @default.
• W4387010752 creator A5030155492 @default.
• W4387010752 creator A5047605590 @default.
• W4387010752 creator A5084848407 @default.
• W4387010752 date "2023-01-01" @default.
• W4387010752 modified "2023-10-12" @default.
• W4387010752 title "Optimized DTW-Resnet for Fault Diagnosis by Data Augmentation towards Unequal Length Time Series" @default.
• W4387010752 cites W2165259513 @default.
• W4387010752 cites W2194775991 @default.
• W4387010752 cites W2737137971 @default.
• W4387010752 cites W2900367617 @default.
• W4387010752 cites W2903738303 @default.
• W4387010752 cites W2904973725 @default.
• W4387010752 cites W2964758013 @default.
• W4387010752 cites W2966784196 @default.
• W4387010752 cites W2999406639 @default.
• W4387010752 cites W3042807565 @default.
• W4387010752 cites W3082928101 @default.
• W4387010752 cites W3095529403 @default.
• W4387010752 cites W3099562783 @default.
• W4387010752 cites W3196282989 @default.
• W4387010752 cites W3197177058 @default.
• W4387010752 cites W3208156676 @default.
• W4387010752 cites W4205165532 @default.
• W4387010752 cites W4205187729 @default.
• W4387010752 cites W4205940851 @default.
• W4387010752 cites W4206576785 @default.
• W4387010752 cites W4206984724 @default.
• W4387010752 cites W4224279909 @default.
• W4387010752 cites W4286306282 @default.
• W4387010752 cites W4295832386 @default.
• W4387010752 cites W4308068470 @default.
• W4387010752 cites W4313067792 @default.
• W4387010752 cites W4315780992 @default.
• W4387010752 cites W4321020525 @default.
• W4387010752 cites W4324119415 @default.
• W4387010752 cites W4377968407 @default.
• W4387010752 doi "https://doi.org/10.1109/tim.2023.3318690" @default.
• W4387010752 hasPublicationYear "2023" @default.
• W4387010752 type Work @default.
• W4387010752 citedByCount "0" @default.
• W4387010752 crossrefType "journal-article" @default.
• W4387010752 hasAuthorship W4387010752A5004747956 @default.
• W4387010752 hasAuthorship W4387010752A5030155492 @default.
• W4387010752 hasAuthorship W4387010752A5047605590 @default.
• W4387010752 hasAuthorship W4387010752A5084848407 @default.
• W4387010752 hasConcept C11413529 @default.
• W4387010752 hasConcept C119857082 @default.
• W4387010752 hasConcept C127313418 @default.
• W4387010752 hasConcept C127413603 @default.
• W4387010752 hasConcept C141392084 @default.
• W4387010752 hasConcept C143724316 @default.
• W4387010752 hasConcept C151406439 @default.
• W4387010752 hasConcept C151730666 @default.
• W4387010752 hasConcept C153180895 @default.
• W4387010752 hasConcept C154945302 @default.
• W4387010752 hasConcept C155512373 @default.
• W4387010752 hasConcept C157202957 @default.
• W4387010752 hasConcept C165205528 @default.
• W4387010752 hasConcept C175551986 @default.
• W4387010752 hasConcept C2944601119 @default.
• W4387010752 hasConcept C41008148 @default.
• W4387010752 hasConcept C50644808 @default.
• W4387010752 hasConcept C78519656 @default.
• W4387010752 hasConcept C86803240 @default.
• W4387010752 hasConcept C88516994 @default.
• W4387010752 hasConceptScore W4387010752C11413529 @default.
• W4387010752 hasConceptScore W4387010752C119857082 @default.
• W4387010752 hasConceptScore W4387010752C127313418 @default.
• W4387010752 hasConceptScore W4387010752C127413603 @default.
• W4387010752 hasConceptScore W4387010752C141392084 @default.
• W4387010752 hasConceptScore W4387010752C143724316 @default.
• W4387010752 hasConceptScore W4387010752C151406439 @default.
• W4387010752 hasConceptScore W4387010752C151730666 @default.
• W4387010752 hasConceptScore W4387010752C153180895 @default.
• W4387010752 hasConceptScore W4387010752C154945302 @default.
• W4387010752 hasConceptScore W4387010752C155512373 @default.
• W4387010752 hasConceptScore W4387010752C157202957 @default.
• W4387010752 hasConceptScore W4387010752C165205528 @default.
• W4387010752 hasConceptScore W4387010752C175551986 @default.
• W4387010752 hasConceptScore W4387010752C2944601119 @default.
• W4387010752 hasConceptScore W4387010752C41008148 @default.
• W4387010752 hasConceptScore W4387010752C50644808 @default.
• W4387010752 hasConceptScore W4387010752C78519656 @default.
• W4387010752 hasConceptScore W4387010752C86803240 @default.
• W4387010752 hasConceptScore W4387010752C88516994 @default.
• W4387010752 hasFunder F4320321001 @default.
• W4387010752 hasFunder F4320323085 @default.
• W4387010752 hasLocation W43870107521 @default.
• W4387010752 hasOpenAccess W4387010752 @default.
• W4387010752 hasPrimaryLocation W43870107521 @default.
• W4387010752 hasRelatedWork W1918542373 @default.
• W4387010752 hasRelatedWork W1997383766 @default.
• W4387010752 hasRelatedWork W2154472250 @default.
• W4387010752 hasRelatedWork W2229352698 @default.
• W4387010752 hasRelatedWork W2347413598 @default.

• next