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  5. DETECTION AND DIAGNOSIS OF MODEL PARAMETER AND VARIANCE CHANGES USING SLIDING WINDOWS APPROACH

DETECTION AND DIAGNOSIS OF MODEL PARAMETER AND VARIANCE CHANGES USING SLIDING WINDOWS APPROACH

来源 :The Third International Conference on Dynamics,Vibration and | 被引量 : 0次 | 上传用户：dlinc
【摘 要】
：
The problem of change detection and data segmentation has received considerable attention in a research context and appears to be the central issue in various application on real systems.The analysis
【作 者】
：
Th.D.Popescu 
【机 构】
：
Research Department,National Institute for Research and Development in Informatics 8-10 Averescu Ave
【出 处】
：
The Third International Conference on Dynamics,Vibration and
【发表日期】
：
2010年4期
【关键词】
：
Change detection and segmentation linear regression models residual generation d 
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论文部分内容阅读
　　The problem of change detection and data segmentation has received considerable attention in a research context and appears to be the central issue in various application on real systems.The analysis of the behavior of such real data reveals the most of the changes that occur are either changes in the mean level, or changes in spectral characteristics.In this framework, the problem of segmentation between "homogenous" parts of the data (or detection of changes in the data) arises more or less explicitly.Actually.
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