Invention Grant
- Patent Title: Synthetic system fault generation
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Application No.: US17075088Application Date: 2020-10-20
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Publication No.: US11550682B2Publication Date: 2023-01-10
- Inventor: Boris Sobolev , Larisa Shwartz , Ajay Gupta , Qing Wang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/22 ; G06N5/02 ; G06N3/08 ; G06N3/04 ; G06F11/34

Abstract:
Systems, computer-implemented methods, and computer program products that facilitate synthetic system fault generation are provided. According to an embodiment, a system can comprise a processor that executes the following computer-executable components stored in a non-transitory computer readable medium: a generator component that employs a trained artificial intelligence (AI) model to generate a synthetic system fault, represented as a combination of discrete parameters and continuous parameters that define a system state; and a fault assembler component that analyzes the synthetic system fault and generates textual content corresponding to the synthetic system fault.
Public/Granted literature
- US20220121540A1 SYNTHETIC SYSTEM FAULT GENERATION Public/Granted day:2022-04-21
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