发明申请
- 专利标题: Telemetry data analysis using multivariate sequential probability ratio test
- 专利标题(中): 遥测数据分析采用多元顺序概率比测试
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申请号: US12454226申请日: 2009-05-14
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公开(公告)号: US20100292959A1公开(公告)日: 2010-11-18
- 发明人: Kenny C. Gross , Ramakrishna C. Dhanekula , Aleksey M. Urmanov
- 申请人: Kenny C. Gross , Ramakrishna C. Dhanekula , Aleksey M. Urmanov
- 申请人地址: US CA Santa Clara
- 专利权人: SUN MICROSYSTEMS, INC.
- 当前专利权人: SUN MICROSYSTEMS, INC.
- 当前专利权人地址: US CA Santa Clara
- 主分类号: G06F17/18
- IPC分类号: G06F17/18 ; G06F15/00
摘要:
One embodiment provides a system that analyzes telemetry data from a monitored system. During operation, the system periodically obtains the telemetry data as a set of telemetry variables from the monitored system and updates a multidimensional real-time distribution of the telemetry data using the obtained telemetry variables. Next, the system analyzes a statistical deviation of the multidimensional real-time distribution from a multidimensional reference distribution for the monitored system using a multivariate sequential probability ratio test (SPRT) and assesses the integrity of the monitored system based on the statistical deviation of the multidimensional real-time distribution. If the assessed integrity falls below a threshold, the system determines a fault in the monitored system corresponding to a source of the statistical deviation.
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