Online monitoring methods have been widely used in many major devices, however the normal and abnormal states of equipment are estimated mainly based on the monitoring results whether monitored parameters exceed the s...Online monitoring methods have been widely used in many major devices, however the normal and abnormal states of equipment are estimated mainly based on the monitoring results whether monitored parameters exceed the setting thresholds. Using these monitoring methods may cause serious false positive or false negative results. In order to precisely monitor the state of equipment, the problem of abnormality degree detection without fault sample is studied with a new detection method called negative potential field group detectors（NPFG-detectors）. This method achieves the quantitative expression of abnormality degree and provides the better detection results compared with other methods. In the process of Iris data set simulation, the new algorithm obtains the successful results in abnormal detection. The detection rates for 3 types of Iris data set respectively reach 100%, 91.6%, and 95.24% with 50% training samples. The problem of Bearing abnormality degree detection via an abnormality degree curve is successfully solved.展开更多
This study’s dynamic survey of spectators at the HRS(Hanazono Rugby Stadium)in HOC(Higashi Osaka City)during the 2019 RWC(Rugby World Cup)tournament used location information big data to analyze nine items,including ...This study’s dynamic survey of spectators at the HRS(Hanazono Rugby Stadium)in HOC(Higashi Osaka City)during the 2019 RWC(Rugby World Cup)tournament used location information big data to analyze nine items,including spectator attributes-60 min or more stay in HOC(excluding residents),more than 15 min stay in the HRS on match days(besides,the days before and after the match).To compare spectators,visitors to HOC during the matches were added to the target group.The results show that the RWC attracted a high number of male visitors aged 20,40,and 50 years,mainly from the Kinki region,whose stopovers inside and outside the region were limited to Osaka City.Stopovers in tourist areas unrelated to the RWC were few,partly because it was possible to undertake a day trip solely to watch the game without any stopovers.展开更多
基金Supported by National Natural Science Foundation of China(Grant No.51175316)Specialized Research Fund for the Doctoral Program of Higher Education,China(Grant No.20103108110006)Basic Research Project of Shanghai Science and Technology Commission,China(Grant No.11JC1404100)
文摘Online monitoring methods have been widely used in many major devices, however the normal and abnormal states of equipment are estimated mainly based on the monitoring results whether monitored parameters exceed the setting thresholds. Using these monitoring methods may cause serious false positive or false negative results. In order to precisely monitor the state of equipment, the problem of abnormality degree detection without fault sample is studied with a new detection method called negative potential field group detectors（NPFG-detectors）. This method achieves the quantitative expression of abnormality degree and provides the better detection results compared with other methods. In the process of Iris data set simulation, the new algorithm obtains the successful results in abnormal detection. The detection rates for 3 types of Iris data set respectively reach 100%, 91.6%, and 95.24% with 50% training samples. The problem of Bearing abnormality degree detection via an abnormality degree curve is successfully solved.
文摘This study’s dynamic survey of spectators at the HRS(Hanazono Rugby Stadium)in HOC(Higashi Osaka City)during the 2019 RWC(Rugby World Cup)tournament used location information big data to analyze nine items,including spectator attributes-60 min or more stay in HOC(excluding residents),more than 15 min stay in the HRS on match days(besides,the days before and after the match).To compare spectators,visitors to HOC during the matches were added to the target group.The results show that the RWC attracted a high number of male visitors aged 20,40,and 50 years,mainly from the Kinki region,whose stopovers inside and outside the region were limited to Osaka City.Stopovers in tourist areas unrelated to the RWC were few,partly because it was possible to undertake a day trip solely to watch the game without any stopovers.
