Hospital Intelligent Power Operation and Maintenance Information Evaluation with the Long and Short Memory Neural Network.
The invention describes a deep learning-based technique for monitoring power grid information operation and maintenance. Based on the time series data information in the power grid information operation and maintenance monitoring system, this method obtains the cleaned time series data through appro...
| Publicado en: | BioMed Research International pp. 1 - 6 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
8/23/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158677293&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158677293 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 8/23/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 158677293 158677293 158677293 10.1155/2022/7003719 158677293 ppf: 1 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Hospital Intelligent Power Operation and Maintenance Information Evaluation with the Long and Short Memory Neural Network. aug: au: Mi, Dezhi Ding, Qing Zhang, Jiangbo affil: Infrastructure Office, Shanghai Yang Zhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Yang Zhi Rehabilitation Hospital, Tongji University, China sug: subj: Neural Networks (Computer) Deep Learning ab: The invention describes a deep learning-based technique for monitoring power grid information operation and maintenance. Based on the time series data information in the power grid information operation and maintenance monitoring system, this method obtains the cleaned time series data through appropriate data preprocessing technology. This also uses the long-term and short-term memory neural network to realize the prediction function of the time series data to be detected. The reason behind is to construct the normal behavior model of the time series. Additionally, the control chart based on an exponentially weighted moving average is employed to determine whether the time series to be discovered contains any anomalous and abnormal phenomena. In the area of power grid information operation and maintenance monitoring, the method of invention is designed to counter anomaly. This phenomenon is universal in nature and has significant scientific importance for guiding treatment after the anomaly is discovered. Additionally, it guards against serious faults that the abnormality might bring about. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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