Invention Application
- Patent Title: SYSTEM AND METHOD FOR DETECTING A SHIFT IN REAL DATA TREND USING THE CONFIGURABLE ADAPTIVE THRESHOLD
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Application No.: US16022059Application Date: 2018-06-28
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Publication No.: US20200004619A1Publication Date: 2020-01-02
- Inventor: Kyusung Kim , Christopher Hickenbottom , Onder Uluyol , Lukas Ertl , Tomas Rudolecky , Zdenek Hrncir
- Applicant: HONEYWELL INTERNATIONAL INC.
- Applicant Address: US NJ Morris Plains
- Assignee: HONEYWELL INTERNATIONAL INC.
- Current Assignee: HONEYWELL INTERNATIONAL INC.
- Current Assignee Address: US NJ Morris Plains
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06F17/18

Abstract:
A computer-implemented system for detecting shifts in data is provided. The system is configured to: calculate, based on the value of a plurality of user-selectable baseline configuration parameters, baseline values for a series of data items in a data structure, wherein the baseline values include an average value and a standard deviation value; calculate, based on the value of a plurality of user-selectable weighted threshold parameters, a weighted threshold level for the series of data items; detect, based on the value of a plurality of user-selectable shift detection parameters, a shift in the series of data items, wherein the shift comprises an abrupt shift, a rapid drift, or a gradual drift; convert, based on the value of a plurality of user-selectable normalization parameters, the value of each data item in the series of data items to a normalized value; and determine whether the normalized values indicate a data shift.
Information query