Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309226081> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4309226081 abstract "In order to accurately understand the operating state of the equipment, monitor the abnormality of the oil state data in time, and effectively extract the abnormal data information in the oil monitoring data, this paper established a classification-driven SAE oil monitoring data abnormality recognition model. The nonlinear characteristics of the data predicted the state of the oil data. The label information is introduced into the collected oil monitoring data, and then the data is preprocessed. The deep features in the oil monitoring data are extracted by the stacked autoencoder (SAE). In the coding stage, the oil monitoring data training network with labels is used to realize the identification of abnormal data. The experimental results showed that: Compared with the Back Propagation Neural Network (BPNN) and the Support Vector Machine (SVM) classifier, the classification-driven stacked autoencoder had higher anomaly identification accuracy and could effectively detect abnormal data in oil monitoring data, so as to identified the abnormal monitoring of equipment status." @default.
- W4309226081 created "2022-11-24" @default.
- W4309226081 creator A5003183541 @default.
- W4309226081 creator A5004966344 @default.
- W4309226081 creator A5019491963 @default.
- W4309226081 creator A5030337567 @default.
- W4309226081 creator A5066886900 @default.
- W4309226081 creator A5068521890 @default.
- W4309226081 date "2022-10-13" @default.
- W4309226081 modified "2023-09-29" @default.
- W4309226081 title "Abnormal Identification of Oil monitoring Data Based on Classification-Driven SAE" @default.
- W4309226081 cites W1999798000 @default.
- W4309226081 cites W2072128103 @default.
- W4309226081 cites W2206299551 @default.
- W4309226081 cites W2796942168 @default.
- W4309226081 cites W2810556247 @default.
- W4309226081 cites W2964054038 @default.
- W4309226081 cites W2991966331 @default.
- W4309226081 cites W3018145837 @default.
- W4309226081 cites W3192992148 @default.
- W4309226081 cites W3203004474 @default.
- W4309226081 cites W3209243216 @default.
- W4309226081 cites W3215145458 @default.
- W4309226081 cites W4210263262 @default.
- W4309226081 doi "https://doi.org/10.1109/phm-yantai55411.2022.9941788" @default.
- W4309226081 hasPublicationYear "2022" @default.
- W4309226081 type Work @default.
- W4309226081 citedByCount "0" @default.
- W4309226081 crossrefType "proceedings-article" @default.
- W4309226081 hasAuthorship W4309226081A5003183541 @default.
- W4309226081 hasAuthorship W4309226081A5004966344 @default.
- W4309226081 hasAuthorship W4309226081A5019491963 @default.
- W4309226081 hasAuthorship W4309226081A5030337567 @default.
- W4309226081 hasAuthorship W4309226081A5066886900 @default.
- W4309226081 hasAuthorship W4309226081A5068521890 @default.
- W4309226081 hasConcept C101738243 @default.
- W4309226081 hasConcept C116834253 @default.
- W4309226081 hasConcept C119599485 @default.
- W4309226081 hasConcept C12267149 @default.
- W4309226081 hasConcept C124101348 @default.
- W4309226081 hasConcept C127413603 @default.
- W4309226081 hasConcept C153180895 @default.
- W4309226081 hasConcept C154945302 @default.
- W4309226081 hasConcept C15744967 @default.
- W4309226081 hasConcept C2775846686 @default.
- W4309226081 hasConcept C41008148 @default.
- W4309226081 hasConcept C50644808 @default.
- W4309226081 hasConcept C50965678 @default.
- W4309226081 hasConcept C59822182 @default.
- W4309226081 hasConcept C67186912 @default.
- W4309226081 hasConcept C739882 @default.
- W4309226081 hasConcept C77088390 @default.
- W4309226081 hasConcept C77805123 @default.
- W4309226081 hasConcept C86803240 @default.
- W4309226081 hasConcept C95623464 @default.
- W4309226081 hasConceptScore W4309226081C101738243 @default.
- W4309226081 hasConceptScore W4309226081C116834253 @default.
- W4309226081 hasConceptScore W4309226081C119599485 @default.
- W4309226081 hasConceptScore W4309226081C12267149 @default.
- W4309226081 hasConceptScore W4309226081C124101348 @default.
- W4309226081 hasConceptScore W4309226081C127413603 @default.
- W4309226081 hasConceptScore W4309226081C153180895 @default.
- W4309226081 hasConceptScore W4309226081C154945302 @default.
- W4309226081 hasConceptScore W4309226081C15744967 @default.
- W4309226081 hasConceptScore W4309226081C2775846686 @default.
- W4309226081 hasConceptScore W4309226081C41008148 @default.
- W4309226081 hasConceptScore W4309226081C50644808 @default.
- W4309226081 hasConceptScore W4309226081C50965678 @default.
- W4309226081 hasConceptScore W4309226081C59822182 @default.
- W4309226081 hasConceptScore W4309226081C67186912 @default.
- W4309226081 hasConceptScore W4309226081C739882 @default.
- W4309226081 hasConceptScore W4309226081C77088390 @default.
- W4309226081 hasConceptScore W4309226081C77805123 @default.
- W4309226081 hasConceptScore W4309226081C86803240 @default.
- W4309226081 hasConceptScore W4309226081C95623464 @default.
- W4309226081 hasFunder F4320321001 @default.
- W4309226081 hasLocation W43092260811 @default.
- W4309226081 hasOpenAccess W4309226081 @default.
- W4309226081 hasPrimaryLocation W43092260811 @default.
- W4309226081 hasRelatedWork W2041636156 @default.
- W4309226081 hasRelatedWork W2160451891 @default.
- W4309226081 hasRelatedWork W2587789887 @default.
- W4309226081 hasRelatedWork W2998168123 @default.
- W4309226081 hasRelatedWork W3085130835 @default.
- W4309226081 hasRelatedWork W3135470575 @default.
- W4309226081 hasRelatedWork W3200612453 @default.
- W4309226081 hasRelatedWork W4221015625 @default.
- W4309226081 hasRelatedWork W4283807968 @default.
- W4309226081 hasRelatedWork W4287995534 @default.
- W4309226081 isParatext "false" @default.
- W4309226081 isRetracted "false" @default.
- W4309226081 workType "article" @default.