Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897557170> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2897557170 endingPage "156" @default.
- W2897557170 startingPage "148" @default.
- W2897557170 abstract "Unpredictable failures and unscheduled maintenance of physical systems increases production resources, produces more harmful waste for the environment, and increases system life cycle costs. Efficient remaining useful life (RUL) estimation can alleviate such an issue. The RUL is predicted by making use of the data collected from several types of sensors that continuously record different indicators about a working asset, such as vibration intensity or exerted pressure. This type of continuous monitoring data is sequential in time, as it is collected at a certain rate from the sensors during the asset's work. Long Short-Term Memory (LSTM) neural network models have been demonstrated to be efficient throughout the literature when dealing with sequential data because of their ability to retain a lot of information over time about previous states of the system. This paper proposes using a new LSTM architecture for predicting the RUL when given short sequences of monitored observations with random initial wear. By using LSTM, this paper proposes a new objective function that is suitable for the RUL estimation problem, as well as a new target generation approach for training LSTM networks, which requires making lesser assumptions about the actual degradation of the system." @default.
- W2897557170 created "2018-10-26" @default.
- W2897557170 creator A5007464582 @default.
- W2897557170 creator A5019315257 @default.
- W2897557170 creator A5062903114 @default.
- W2897557170 date "2019-01-01" @default.
- W2897557170 modified "2023-10-14" @default.
- W2897557170 title "Bidirectional handshaking LSTM for remaining useful life prediction" @default.
- W2897557170 cites W1689711448 @default.
- W2897557170 cites W1988383841 @default.
- W2897557170 cites W2009242283 @default.
- W2897557170 cites W2037250283 @default.
- W2897557170 cites W2042311265 @default.
- W2897557170 cites W2051319254 @default.
- W2897557170 cites W2055873761 @default.
- W2897557170 cites W2056494619 @default.
- W2897557170 cites W2064675550 @default.
- W2897557170 cites W2067678449 @default.
- W2897557170 cites W2106595237 @default.
- W2897557170 cites W2107071461 @default.
- W2897557170 cites W2125838338 @default.
- W2897557170 cites W2131774270 @default.
- W2897557170 cites W2294172420 @default.
- W2897557170 cites W2544905596 @default.
- W2897557170 cites W2591055632 @default.
- W2897557170 cites W2593519057 @default.
- W2897557170 cites W2772084711 @default.
- W2897557170 cites W2774595318 @default.
- W2897557170 cites W2964199361 @default.
- W2897557170 doi "https://doi.org/10.1016/j.neucom.2018.09.076" @default.
- W2897557170 hasPublicationYear "2019" @default.
- W2897557170 type Work @default.
- W2897557170 sameAs 2897557170 @default.
- W2897557170 citedByCount "165" @default.
- W2897557170 countsByYear W28975571702019 @default.
- W2897557170 countsByYear W28975571702020 @default.
- W2897557170 countsByYear W28975571702021 @default.
- W2897557170 countsByYear W28975571702022 @default.
- W2897557170 countsByYear W28975571702023 @default.
- W2897557170 crossrefType "journal-article" @default.
- W2897557170 hasAuthorship W2897557170A5007464582 @default.
- W2897557170 hasAuthorship W2897557170A5019315257 @default.
- W2897557170 hasAuthorship W2897557170A5062903114 @default.
- W2897557170 hasConcept C121332964 @default.
- W2897557170 hasConcept C133488467 @default.
- W2897557170 hasConcept C147168706 @default.
- W2897557170 hasConcept C154945302 @default.
- W2897557170 hasConcept C38652104 @default.
- W2897557170 hasConcept C41008148 @default.
- W2897557170 hasConcept C50644808 @default.
- W2897557170 hasConcept C58861099 @default.
- W2897557170 hasConcept C61797465 @default.
- W2897557170 hasConcept C62520636 @default.
- W2897557170 hasConcept C76178495 @default.
- W2897557170 hasConcept C79403827 @default.
- W2897557170 hasConceptScore W2897557170C121332964 @default.
- W2897557170 hasConceptScore W2897557170C133488467 @default.
- W2897557170 hasConceptScore W2897557170C147168706 @default.
- W2897557170 hasConceptScore W2897557170C154945302 @default.
- W2897557170 hasConceptScore W2897557170C38652104 @default.
- W2897557170 hasConceptScore W2897557170C41008148 @default.
- W2897557170 hasConceptScore W2897557170C50644808 @default.
- W2897557170 hasConceptScore W2897557170C58861099 @default.
- W2897557170 hasConceptScore W2897557170C61797465 @default.
- W2897557170 hasConceptScore W2897557170C62520636 @default.
- W2897557170 hasConceptScore W2897557170C76178495 @default.
- W2897557170 hasConceptScore W2897557170C79403827 @default.
- W2897557170 hasLocation W28975571701 @default.
- W2897557170 hasOpenAccess W2897557170 @default.
- W2897557170 hasPrimaryLocation W28975571701 @default.
- W2897557170 hasRelatedWork W2912153778 @default.
- W2897557170 hasRelatedWork W2912831041 @default.
- W2897557170 hasRelatedWork W2973430807 @default.
- W2897557170 hasRelatedWork W3034576161 @default.
- W2897557170 hasRelatedWork W3173606726 @default.
- W2897557170 hasRelatedWork W4288108708 @default.
- W2897557170 hasRelatedWork W4365935674 @default.
- W2897557170 hasRelatedWork W4385280324 @default.
- W2897557170 hasRelatedWork W4387163678 @default.
- W2897557170 hasRelatedWork W3095342734 @default.
- W2897557170 hasVolume "323" @default.
- W2897557170 isParatext "false" @default.
- W2897557170 isRetracted "false" @default.
- W2897557170 magId "2897557170" @default.
- W2897557170 workType "article" @default.