Invention Grant
- Patent Title: Intelligent preprocessing of multi-dimensional time-series data
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Application No.: US15925427Application Date: 2018-03-19
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Publication No.: US10740310B2Publication Date: 2020-08-11
- Inventor: Dieter Gawlick , Kenny C. Gross , Zhen Hua Liu , Adel Ghoneimy
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Park, Vaughan, Fleming & Dowler LLP
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F16/22 ; G06N5/04 ; G06N20/00 ; G06F16/174 ; G06F16/23 ; G06F17/40 ; G06F11/30 ; G06F11/00

Abstract:
The disclosed embodiments relate to a system that preprocesses sensor data to facilitate prognostic-surveillance operations. During operation, the system obtains training data from sensors in a monitored system during operation of the monitored system, wherein the training data comprises time-series data sampled from signals produced by the sensors. The system also obtains functional requirements for the prognostic-surveillance operations. Next, the system performs the prognostic-surveillance operations on the training data and determines whether the prognostic-surveillance operations meet the functional requirements when tested on non-training data. If the prognostic-surveillance operations do not meet the functional requirements, the system iteratively applies one or more preprocessing operations to the training data in order of increasing computational cost until the functional requirements are met.
Public/Granted literature
- US20190286725A1 INTELLIGENT PREPROCESSING OF MULTI-DIMENSIONAL TIME-SERIES DATA Public/Granted day:2019-09-19
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