Patent · US Active

System and method for detecting outliers in real-time for a univariate time-series signal

US10733264B2 · kind B2 · utility

0Cited by

6References

7Claims

0Family size

Assignee

Tata Consultancy Services Limited · IN

Inventors

Arijit Ukil · Sherghati, IN
Soma Bandyopadhyay · Sherghati, IN
Arpan Pal · Sherghati, IN

Key dates

Filing date	Jun 16, 2016
Grant date	Aug 4, 2020
Priority date	—
Expiry date	Nov 30, 2036

Classification

Technology area (CPC H)Electricity
CPC primaryH04W4/00
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

Disclosed is a method and system for detecting outliers in real-time for a univariate time-series signal. The system may receive the univariate time-series signal, comprising a plurality of datasets, from a data source. The system may compute a standard deviation of a dataset of the plurality of datasets. Subsequently, the system may compute the optimal sample block size and the critical sample size of the dataset. Further, the system may determine the optimal operational block size of the dataset. The system may segment the plurality of datasets into blocks based upon the optimal operational block size. The system may detect the outliers by performing an outlier detection technique on the blocks, thereby ensuring improved execution time while minimally affecting precision and accuracy of the outcome of the outlier detection method.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.