Invention Grant
- Patent Title: Characterizing and mitigating spillover false alarms in inferential models for machine-learning prognostics
-
Application No.: US16244006Application Date: 2019-01-09
-
Publication No.: US11295012B2Publication Date: 2022-04-05
- Inventor: Kenny C. Gross , Ashin George
- 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: G06F21/55
- IPC: G06F21/55 ; G06N7/00 ; G06N20/00 ; G08B29/18

Abstract:
The disclosed embodiments relate to a system that determines whether an inferential model is susceptible to spillover false alarms. During operation, the system receives a set of time-series signals from sensors in a monitored system. The system then trains the inferential model using the set of time-series signals. Next, the system tests the inferential model for susceptibility to spillover false alarms by performing the following operations for one signal at a time in the set of time-series signals. First, the system adds degradation to the signal to produce a degraded signal. The system then uses the inferential model to perform prognostic-surveillance operations on the time-series signals with the degraded signal. Finally, the system detects spillover false alarms based on results of the prognostic-surveillance operations.
Public/Granted literature
Information query