Method for data filtering and anomoly detection
AssigneeGeneral Electric Company
InventorsLouis Andrew Schick, Douglas Ancona Catharine, Stephen Duane Sanborn
Life of this patent
Estimating the term…
Abstract
A method for low pass filtering data used in change-detect compression of data collected from a system includes buffering the data from said system. Rolling averages of the buffered data are calculated where the calculation of the rolling averages low pass filters the data. Change-detect compression is performed on the rolling averaged data, and the compressed data are archived. The archived data are transmitted to a central location and received. The received data are archived at the central location.
Claims12
A method for low pass filtering data used in change-detect compression of said data collected from a system under test, said method comprising the steps of:
- buffering said data from said system under test at a frequency of about one hertz;
- calculating rolling averages of the buffered data wherein said step of calculating said rolling averages low pass filters the buffered data;
- performing change-detect compression on the rolling averaged data wherein said step of performing said change-detect compression calculates a change-delta and compares said calculated change-delta with a predetermined change-delta for each of said rolling averaged data;
- and
- archiving the compressed data.
A method for filtering and determining anomalies of corrected data from a system under test, said method comprising the steps of:
- buffering said data from said system under test;
- calculating rolling averages of the buffered data wherein said step of calculating said rolling averages low pass filters the buffered data wherein said step of performing said change-detect compression calculates a change-delta and compares said calculated change-delta with a predetermined change-delta for each of said rolling averaged data;
- performing change-detect compression on the rolling averaged data;
- archiving the compressed data;
- transmitting the archived data points to a central location;
- receiving the transmitted data at said central location;
- archiving the received data at said central location
- gathering the archived data from said central location;
- filtering said gathered data into at least one subset, each of said at least one subset being differentiated by mode;
- correcting said at least one subset of the gathered data;
- calculating distributive statistics for said each of said at least one subset;
- and
- identifying long-term anomalies in said at least one subset.
Dependencies are inferred from the claim text.