Invention Grant
- Patent Title: Anomaly detection based on relational expression between vibration strengths at various frequencies
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Application No.: US15306173Application Date: 2015-05-11
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Publication No.: US10719778B2Publication Date: 2020-07-21
- Inventor: Katsuhiro Ochiai
- Applicant: NEC Corporation
- Applicant Address: JP Tokyo
- Assignee: NEC CORPORATION
- Current Assignee: NEC CORPORATION
- Current Assignee Address: JP Tokyo
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@187b615f
- International Application: PCT/JP2015/002373 WO 20150511
- International Announcement: WO2015/174067 WO 20151119
- Main IPC: G06N20/00
- IPC: G06N20/00 ; E02D17/20 ; G08B21/10 ; G08B31/00 ; G08B25/08 ; G01V1/00 ; G01V9/00 ; G01V9/02 ; G01H1/00

Abstract:
A model learning unit of an anomaly detection device learns a relational expression between vibration strengths at frequencies based on a time series of frequency characteristics of a vibration strength detected during a learning period by a vibration sensor placed on a monitoring target. The anomaly detection unit learns a relational expression between vibration strengths at frequencies based on a time series of frequency characteristics of a vibration strength detected during a new period by the vibration sensor. Then, the anomaly detection unit determines whether or not there is an anomaly in the monitoring target based on a relational expression related to a new frequency, which is different from the relational expression learned during the learning period.
Public/Granted literature
- US20170046628A1 INFORMATION PROCESSING DEVICE, ANOMALY DETECTION METHOD AND RECORDING MEDIUM Public/Granted day:2017-02-16
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