Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089634643> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W3089634643 endingPage "107097" @default.
- W3089634643 startingPage "107097" @default.
- W3089634643 abstract "Operating conditions of steam drums significantly reflect operating performances of coal gasification processes. It is crucial to accurately diagnose the abnormal operating conditions and pay attention to the associated process variables in time. In response to the problem that it is difficult to obtain a large number of abnormal samples of steam drum operating data, which are insufficient for abnormal features learning with traditional methods, an Auto-Encoder neural network based on gated recurrent unit (GRU-Auto-Encoder) is proposed in this paper. The method generates abnormal samples by considering the temporal dependence of data before operating data which contain the generated abnormal samples are provided to GRU neural network for extracting operating conditions features in a deeper and dynamic manner, helping analyze root causes of abnormalities and monitor operating conditions. The effectiveness of method is demonstrated by experiments with operating data of an industrial coal gasification plant." @default.
- W3089634643 created "2020-10-08" @default.
- W3089634643 creator A5012270936 @default.
- W3089634643 creator A5088359251 @default.
- W3089634643 date "2020-12-01" @default.
- W3089634643 modified "2023-10-03" @default.
- W3089634643 title "GRU-Auto-Encoder neural network based methods for diagnosing abnormal operating conditions of steam drums in coal gasification plants" @default.
- W3089634643 cites W2165700458 @default.
- W3089634643 cites W2194611312 @default.
- W3089634643 cites W2589808763 @default.
- W3089634643 cites W2749762117 @default.
- W3089634643 cites W2781540443 @default.
- W3089634643 cites W2784103800 @default.
- W3089634643 cites W2796942168 @default.
- W3089634643 cites W2804880936 @default.
- W3089634643 cites W2804976435 @default.
- W3089634643 cites W2883733932 @default.
- W3089634643 cites W2889165715 @default.
- W3089634643 cites W2896266079 @default.
- W3089634643 cites W2909784400 @default.
- W3089634643 cites W2915656323 @default.
- W3089634643 cites W2925790792 @default.
- W3089634643 cites W2931254400 @default.
- W3089634643 cites W2939852233 @default.
- W3089634643 cites W2950150695 @default.
- W3089634643 cites W2953429998 @default.
- W3089634643 cites W2954665897 @default.
- W3089634643 cites W2956674099 @default.
- W3089634643 cites W2957781373 @default.
- W3089634643 cites W2959559075 @default.
- W3089634643 cites W2965159169 @default.
- W3089634643 cites W2966156055 @default.
- W3089634643 cites W2972789371 @default.
- W3089634643 cites W2974523052 @default.
- W3089634643 cites W2979513674 @default.
- W3089634643 cites W2980528403 @default.
- W3089634643 cites W2993533229 @default.
- W3089634643 cites W2999570460 @default.
- W3089634643 cites W2999892352 @default.
- W3089634643 cites W3001457935 @default.
- W3089634643 cites W3001599259 @default.
- W3089634643 doi "https://doi.org/10.1016/j.compchemeng.2020.107097" @default.
- W3089634643 hasPublicationYear "2020" @default.
- W3089634643 type Work @default.
- W3089634643 sameAs 3089634643 @default.
- W3089634643 citedByCount "9" @default.
- W3089634643 countsByYear W30896346432021 @default.
- W3089634643 countsByYear W30896346432022 @default.
- W3089634643 crossrefType "journal-article" @default.
- W3089634643 hasAuthorship W3089634643A5012270936 @default.
- W3089634643 hasAuthorship W3089634643A5088359251 @default.
- W3089634643 hasConcept C111919701 @default.
- W3089634643 hasConcept C118505674 @default.
- W3089634643 hasConcept C127413603 @default.
- W3089634643 hasConcept C154945302 @default.
- W3089634643 hasConcept C175845324 @default.
- W3089634643 hasConcept C21880701 @default.
- W3089634643 hasConcept C41008148 @default.
- W3089634643 hasConcept C50644808 @default.
- W3089634643 hasConcept C518851703 @default.
- W3089634643 hasConcept C548081761 @default.
- W3089634643 hasConcept C78519656 @default.
- W3089634643 hasConcept C98045186 @default.
- W3089634643 hasConceptScore W3089634643C111919701 @default.
- W3089634643 hasConceptScore W3089634643C118505674 @default.
- W3089634643 hasConceptScore W3089634643C127413603 @default.
- W3089634643 hasConceptScore W3089634643C154945302 @default.
- W3089634643 hasConceptScore W3089634643C175845324 @default.
- W3089634643 hasConceptScore W3089634643C21880701 @default.
- W3089634643 hasConceptScore W3089634643C41008148 @default.
- W3089634643 hasConceptScore W3089634643C50644808 @default.
- W3089634643 hasConceptScore W3089634643C518851703 @default.
- W3089634643 hasConceptScore W3089634643C548081761 @default.
- W3089634643 hasConceptScore W3089634643C78519656 @default.
- W3089634643 hasConceptScore W3089634643C98045186 @default.
- W3089634643 hasLocation W30896346431 @default.
- W3089634643 hasOpenAccess W3089634643 @default.
- W3089634643 hasPrimaryLocation W30896346431 @default.
- W3089634643 hasRelatedWork W2275988210 @default.
- W3089634643 hasRelatedWork W2354503449 @default.
- W3089634643 hasRelatedWork W2363205913 @default.
- W3089634643 hasRelatedWork W2364839141 @default.
- W3089634643 hasRelatedWork W2370190260 @default.
- W3089634643 hasRelatedWork W2385621972 @default.
- W3089634643 hasRelatedWork W2389779767 @default.
- W3089634643 hasRelatedWork W2899084033 @default.
- W3089634643 hasRelatedWork W3034177709 @default.
- W3089634643 hasRelatedWork W3166882957 @default.
- W3089634643 hasVolume "143" @default.
- W3089634643 isParatext "false" @default.
- W3089634643 isRetracted "false" @default.
- W3089634643 magId "3089634643" @default.
- W3089634643 workType "article" @default.