Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377079807> ?p ?o ?g. }
- W4377079807 endingPage "14" @default.
- W4377079807 startingPage "1" @default.
- W4377079807 abstract "The cross-domain fault diagnosis problem based on deep domain adaptation (deep DA) has gained great attention in recent years. However, a required but not easily satisfied assumption in many researches that the label space of the source domain and the target domain should be identical limits their applications in practice. In industrial reality, the label space of the target domain may be only a subset of that of the source domain, which is defined as partial DA diagnosis scenario. Focusing on this scenario, this paper proposes a novel diagnosis method named instance weighted mean maximum discrepancy (IWMMD). A new weighting mechanism inspired by instance discrimination is designed to realize DA on shared label space between domains. Also, discrimination structure enhancement for both domains is introduced to encourage better classification ability and safer domain alignment. The effectiveness of IWMMD is verified by two datasets. In the gear dataset, the diagnosis accuracy is 89.65% with a 5.11% improvement. In the bearing dataset, the diagnosis accuracy is 96.28% with a 4.46% improvement. The results and analysis show that the proposed method can reduce the negative transfer effects caused by outlier class samples in source domain and learn a more separable discrimination structure, which is effective in both no-partial and partial diagnosis scenarios and time-efficient." @default.
- W4377079807 created "2023-05-20" @default.
- W4377079807 creator A5001035296 @default.
- W4377079807 creator A5006053925 @default.
- W4377079807 creator A5012394408 @default.
- W4377079807 creator A5019373327 @default.
- W4377079807 creator A5088672776 @default.
- W4377079807 date "2023-01-01" @default.
- W4377079807 modified "2023-10-15" @default.
- W4377079807 title "Instance Weighting Based Partial Domain Adaptation for Intelligent Fault Diagnosis of Rotating Machinery" @default.
- W4377079807 cites W2019505419 @default.
- W4377079807 cites W2165698076 @default.
- W4377079807 cites W2520774990 @default.
- W4377079807 cites W2556013418 @default.
- W4377079807 cites W2584994008 @default.
- W4377079807 cites W2798991696 @default.
- W4377079807 cites W2885722640 @default.
- W4377079807 cites W2886924644 @default.
- W4377079807 cites W2904218127 @default.
- W4377079807 cites W2904460913 @default.
- W4377079807 cites W2912073957 @default.
- W4377079807 cites W2922660557 @default.
- W4377079807 cites W2962687275 @default.
- W4377079807 cites W2962986791 @default.
- W4377079807 cites W2963125010 @default.
- W4377079807 cites W2964109570 @default.
- W4377079807 cites W2964288524 @default.
- W4377079807 cites W2971654674 @default.
- W4377079807 cites W2973424371 @default.
- W4377079807 cites W2990403609 @default.
- W4377079807 cites W2993397516 @default.
- W4377079807 cites W2997151494 @default.
- W4377079807 cites W2998506103 @default.
- W4377079807 cites W3006342871 @default.
- W4377079807 cites W3009370740 @default.
- W4377079807 cites W3015913963 @default.
- W4377079807 cites W3018638193 @default.
- W4377079807 cites W3025888249 @default.
- W4377079807 cites W3036403470 @default.
- W4377079807 cites W3126725177 @default.
- W4377079807 cites W3137795735 @default.
- W4377079807 cites W3145701633 @default.
- W4377079807 cites W3159025054 @default.
- W4377079807 cites W3165802365 @default.
- W4377079807 cites W3201753566 @default.
- W4377079807 cites W3209651137 @default.
- W4377079807 cites W4206495689 @default.
- W4377079807 cites W4220978189 @default.
- W4377079807 cites W4281725269 @default.
- W4377079807 cites W4292976134 @default.
- W4377079807 cites W4307393794 @default.
- W4377079807 cites W4312897837 @default.
- W4377079807 cites W4313004006 @default.
- W4377079807 doi "https://doi.org/10.1109/tim.2023.3276027" @default.
- W4377079807 hasPublicationYear "2023" @default.
- W4377079807 type Work @default.
- W4377079807 citedByCount "0" @default.
- W4377079807 crossrefType "journal-article" @default.
- W4377079807 hasAuthorship W4377079807A5001035296 @default.
- W4377079807 hasAuthorship W4377079807A5006053925 @default.
- W4377079807 hasAuthorship W4377079807A5012394408 @default.
- W4377079807 hasAuthorship W4377079807A5019373327 @default.
- W4377079807 hasAuthorship W4377079807A5088672776 @default.
- W4377079807 hasConcept C111919701 @default.
- W4377079807 hasConcept C11413529 @default.
- W4377079807 hasConcept C119857082 @default.
- W4377079807 hasConcept C124101348 @default.
- W4377079807 hasConcept C126838900 @default.
- W4377079807 hasConcept C127313418 @default.
- W4377079807 hasConcept C134306372 @default.
- W4377079807 hasConcept C153180895 @default.
- W4377079807 hasConcept C154945302 @default.
- W4377079807 hasConcept C165205528 @default.
- W4377079807 hasConcept C175551986 @default.
- W4377079807 hasConcept C183115368 @default.
- W4377079807 hasConcept C2778572836 @default.
- W4377079807 hasConcept C33923547 @default.
- W4377079807 hasConcept C36503486 @default.
- W4377079807 hasConcept C41008148 @default.
- W4377079807 hasConcept C70710897 @default.
- W4377079807 hasConcept C71924100 @default.
- W4377079807 hasConcept C79337645 @default.
- W4377079807 hasConceptScore W4377079807C111919701 @default.
- W4377079807 hasConceptScore W4377079807C11413529 @default.
- W4377079807 hasConceptScore W4377079807C119857082 @default.
- W4377079807 hasConceptScore W4377079807C124101348 @default.
- W4377079807 hasConceptScore W4377079807C126838900 @default.
- W4377079807 hasConceptScore W4377079807C127313418 @default.
- W4377079807 hasConceptScore W4377079807C134306372 @default.
- W4377079807 hasConceptScore W4377079807C153180895 @default.
- W4377079807 hasConceptScore W4377079807C154945302 @default.
- W4377079807 hasConceptScore W4377079807C165205528 @default.
- W4377079807 hasConceptScore W4377079807C175551986 @default.
- W4377079807 hasConceptScore W4377079807C183115368 @default.
- W4377079807 hasConceptScore W4377079807C2778572836 @default.
- W4377079807 hasConceptScore W4377079807C33923547 @default.
- W4377079807 hasConceptScore W4377079807C36503486 @default.
- W4377079807 hasConceptScore W4377079807C41008148 @default.