FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211814605> ?p ?o ?g. }

• W3211814605 endingPage "17" @default.
• W3211814605 startingPage "1" @default.
• W3211814605 abstract "Intelligent diagnosis applies deep learning algorithms to mechanical fault diagnosis, which can classify the fault forms of machines or parts efficiently. At present, the intelligent diagnosis of rolling bearings mostly adopts a single-sensor signal, and multisensor information can provide more comprehensive fault features for the deep learning model to improve the generalization ability. In order to apply multisensor information more effectively, this paper proposes a multiscale convolutional neural network model based on global average pooling. The diagnostic model introduces a multiscale convolution kernel in the feature extraction process, which improves the robustness of the model. Meanwhile, its parallel structure also makes up for the shortcomings of the multichannel input fusion method. In the multiscale fusion process, the global average pooling method is used to replace the way to reshape the feature maps into a one-dimensional feature vector in the traditional convolutional neural network, which effectively retains the spatial structure of the feature maps. The model proposed in this paper has been verified by the bearing fault data collected by the experimental platform. The experimental results show that the algorithm proposed in this paper can fuse multisensor data effectively. Compared with other data fusion algorithms, the multiscale convolutional neural network model based on global average pooling has shorter training epochs and better fault diagnosis results." @default.
• W3211814605 created "2021-11-22" @default.
• W3211814605 creator A5031003673 @default.
• W3211814605 creator A5046791672 @default.
• W3211814605 creator A5079407181 @default.
• W3211814605 date "2021-11-09" @default.
• W3211814605 modified "2023-09-30" @default.
• W3211814605 title "Multisource Data Fusion Diagnosis Method of Rolling Bearings Based on Improved Multiscale CNN" @default.
• W3211814605 cites W1982878030 @default.
• W3211814605 cites W1990866134 @default.
• W3211814605 cites W2003205626 @default.
• W3211814605 cites W2028119131 @default.
• W3211814605 cites W2112796928 @default.
• W3211814605 cites W2147800946 @default.
• W3211814605 cites W2277064738 @default.
• W3211814605 cites W2296077894 @default.
• W3211814605 cites W2461729787 @default.
• W3211814605 cites W2560760489 @default.
• W3211814605 cites W2562762876 @default.
• W3211814605 cites W2618530766 @default.
• W3211814605 cites W2692693673 @default.
• W3211814605 cites W2768753204 @default.
• W3211814605 cites W2808496542 @default.
• W3211814605 cites W2809350318 @default.
• W3211814605 cites W2884367402 @default.
• W3211814605 cites W2901137651 @default.
• W3211814605 cites W2914767245 @default.
• W3211814605 cites W2946901414 @default.
• W3211814605 cites W2961876792 @default.
• W3211814605 cites W2962866211 @default.
• W3211814605 cites W2989818023 @default.
• W3211814605 cites W2991597181 @default.
• W3211814605 cites W3005904504 @default.
• W3211814605 cites W3006342871 @default.
• W3211814605 cites W3010850496 @default.
• W3211814605 cites W3126635901 @default.
• W3211814605 cites W3175239808 @default.
• W3211814605 cites W3197349715 @default.
• W3211814605 doi "https://doi.org/10.1155/2021/2251530" @default.
• W3211814605 hasPublicationYear "2021" @default.
• W3211814605 type Work @default.
• W3211814605 sameAs 3211814605 @default.
• W3211814605 citedByCount "2" @default.
• W3211814605 countsByYear W32118146052023 @default.
• W3211814605 crossrefType "journal-article" @default.
• W3211814605 hasAuthorship W3211814605A5031003673 @default.
• W3211814605 hasAuthorship W3211814605A5046791672 @default.
• W3211814605 hasAuthorship W3211814605A5079407181 @default.
• W3211814605 hasBestOaLocation W32118146051 @default.
• W3211814605 hasConcept C104317684 @default.
• W3211814605 hasConcept C108583219 @default.
• W3211814605 hasConcept C114614502 @default.
• W3211814605 hasConcept C124101348 @default.
• W3211814605 hasConcept C127313418 @default.
• W3211814605 hasConcept C153180895 @default.
• W3211814605 hasConcept C154945302 @default.
• W3211814605 hasConcept C165205528 @default.
• W3211814605 hasConcept C175551986 @default.
• W3211814605 hasConcept C185592680 @default.
• W3211814605 hasConcept C33923547 @default.
• W3211814605 hasConcept C33954974 @default.
• W3211814605 hasConcept C41008148 @default.
• W3211814605 hasConcept C50644808 @default.
• W3211814605 hasConcept C52622490 @default.
• W3211814605 hasConcept C55493867 @default.
• W3211814605 hasConcept C63479239 @default.
• W3211814605 hasConcept C70437156 @default.
• W3211814605 hasConcept C74193536 @default.
• W3211814605 hasConcept C81363708 @default.
• W3211814605 hasConceptScore W3211814605C104317684 @default.
• W3211814605 hasConceptScore W3211814605C108583219 @default.
• W3211814605 hasConceptScore W3211814605C114614502 @default.
• W3211814605 hasConceptScore W3211814605C124101348 @default.
• W3211814605 hasConceptScore W3211814605C127313418 @default.
• W3211814605 hasConceptScore W3211814605C153180895 @default.
• W3211814605 hasConceptScore W3211814605C154945302 @default.
• W3211814605 hasConceptScore W3211814605C165205528 @default.
• W3211814605 hasConceptScore W3211814605C175551986 @default.
• W3211814605 hasConceptScore W3211814605C185592680 @default.
• W3211814605 hasConceptScore W3211814605C33923547 @default.
• W3211814605 hasConceptScore W3211814605C33954974 @default.
• W3211814605 hasConceptScore W3211814605C41008148 @default.
• W3211814605 hasConceptScore W3211814605C50644808 @default.
• W3211814605 hasConceptScore W3211814605C52622490 @default.
• W3211814605 hasConceptScore W3211814605C55493867 @default.
• W3211814605 hasConceptScore W3211814605C63479239 @default.
• W3211814605 hasConceptScore W3211814605C70437156 @default.
• W3211814605 hasConceptScore W3211814605C74193536 @default.
• W3211814605 hasConceptScore W3211814605C81363708 @default.
• W3211814605 hasFunder F4320321001 @default.
• W3211814605 hasLocation W32118146051 @default.
• W3211814605 hasLocation W32118146052 @default.
• W3211814605 hasOpenAccess W3211814605 @default.
• W3211814605 hasPrimaryLocation W32118146051 @default.
• W3211814605 hasRelatedWork W2279398222 @default.
• W3211814605 hasRelatedWork W2517027266 @default.
• W3211814605 hasRelatedWork W2731899572 @default.
• W3211814605 hasRelatedWork W3133861977 @default.

• next