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Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector
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作者 Mukund Parasharam Gadre Vikas Chintaman Kakade 《Open Journal of Statistics》 2016年第6期1098-1109,共13页
In this article, we propose two control charts namely, the “Multivariate Group Runs’ (MV-GR-M)” and the “Multivariate Modified Group Runs’ (MV-MGR-M)” control charts, based on the multivariate normal processes, ... In this article, we propose two control charts namely, the “Multivariate Group Runs’ (MV-GR-M)” and the “Multivariate Modified Group Runs’ (MV-MGR-M)” control charts, based on the multivariate normal processes, for monitoring the process mean vector. Methods to obtain the design parameters and operations of these control charts are discussed. Performances of the proposed charts are compared with some existing control charts. It is verified that, the proposed charts give a significant reduction in the out-of-control “Average Time to Signal” (ATS) in the zero state, as well in the steady state compared to the Hotelling’s T2 and the synthetic T2 control charts. 展开更多
关键词 Some Group Runs Based Multivariate Control Charts for Monitoring the process Mean Vector
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Novel distributed passive vehicle tracking technology using phase sensitive optical time domain reflectometer 被引量:3
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作者 王照勇 潘政清 +4 位作者 叶青 卢斌 方祖捷 蔡海文 瞿荣辉 《Chinese Optics Letters》 SCIE EI CAS CSCD 2015年第10期30-34,共5页
A novel distributed passive vehicle tracking technology is proposed and demonstrated. This technology is based on a phase-sensitive optical time domain reflectometer(Φ-OTDR) that can sense and locate vibrations. Tw... A novel distributed passive vehicle tracking technology is proposed and demonstrated. This technology is based on a phase-sensitive optical time domain reflectometer(Φ-OTDR) that can sense and locate vibrations. Two algorithms, dynamic frequency-space image and 2D digital sliding filtering, are proposed to distinguish a car's moving signals from severe environmental noises and disturbances. This technology is proved effective by field experiments for tracking a single car and multiple cars. This work provides a new distributed passive way for real-time vehicle tracking and this technology will be extremely important for traffic controlling and public safety in modern society. 展开更多
关键词 distinguish sliding OTDR extremely filtering traffic locate processed fluctuation running
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