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公开(公告)号:WO2022263716A1
公开(公告)日:2022-12-22
申请号:PCT/FI2022/050400
申请日:2022-06-10
Applicant: ELISA OYJ
Inventor: YU, Qi , UURTIO, Viivi
Abstract: Analyzing measurement results of a target system. Measurement results are obtained (401). The measurement results include multiple data entries, and each data entry includes multiple data values on a lowest hierarchy level and hierarchy information defining with which entities the entry is related to on different hierarchy levels. An aggregated anomaly score is determined (402) for each data entry. Data entries, wherein the aggregated anomaly score fulfils predefined criteria, are chosen for further analysis. Hierarchical clustering is performed (404) on the chosen entries based on dissimilarity of the chosen entries to combine at least some of the chosen entries together; and the hierarchically clustered entries are used (405) to identify one or more anomalous entities on hierarchy levels above the lowest hierarchy level.
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公开(公告)号:WO2022129677A1
公开(公告)日:2022-06-23
申请号:PCT/FI2021/050820
申请日:2021-11-29
Applicant: ELISA OYJ
Inventor: UURTIO, Viivi , YU, Qi , HEIKKILÄ, Rasmus , LUNDÉN, Petteri , LISKI, Antti
Abstract: Analyzing measurement results of a target system. The analysis is performed by receiving (311) a first matrix (301) comprising first measurement results of the target system; training (312) a matrix decomposition model with the first matrix (301) to obtain a third matrix (303) of normal or stable measurement results and a fourth matrix (304) of anomalous or unstable measurement results; receiving (313) a second matrix (306) comprising second measurement results of the target system, wherein the second measurement results are later measurement results compared to the first measurement results; selecting (314) from the third matrix (303) a subset (307) that matches with the second matrix (306); subtracting (315) the selected subset (307) from the second matrix (306) to obtain a fifth matrix (308); outputting (316) the fifth matrix (308) or information derived from the fifth matrix (308) for the purpose of evaluating performance of the target system.
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公开(公告)号:WO2022117911A1
公开(公告)日:2022-06-09
申请号:PCT/FI2021/050783
申请日:2021-11-18
Applicant: ELISA OYJ
Inventor: YU, Qi , UURTIO, Viivi
Abstract: Analyzing measurement results of a target system. Data samples are analysed using an anomaly detection model to form an initial time series (401) of anomaly detection scores, wherein the data samples comprise measurement results of the target system. The initial time series (401) of anomaly detection scores is decomposed into a trend component (402), a seasonal component (403), and a remainder component (404), wherein the remainder component is determined by deducting the trend component and the seasonal component from the initial time series. At least the remainder component of the anomaly detection scores is output for the purpose of evaluating performance of the target system.
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