17644227. FAULT DIAGNOSIS IN COMPLEX SYSTEMS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
FAULT DIAGNOSIS IN COMPLEX SYSTEMS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Yao Dong Zhang of Shanghai (CN)
FAULT DIAGNOSIS IN COMPLEX SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17644227 titled 'FAULT DIAGNOSIS IN COMPLEX SYSTEMS
Simplified Explanation
The patent application describes a system and method for identifying weaknesses in a complex system's workflow. Here is a simplified explanation of the abstract:
- The system collects runtime data from a complex system with multiple subcomponents.
- It detects abnormal operations within the complex system.
- A multi-dimensional cause-and-effect relation matrix is created among the subcomponents.
- The matrix is used to filter and identify related operations.
Potential applications of this technology:
- Identifying weaknesses in large-scale industrial processes.
- Analyzing and improving the efficiency of complex software systems.
- Optimizing workflow in healthcare systems or supply chain management.
Problems solved by this technology:
- Identifying and addressing bottlenecks or inefficiencies in complex systems.
- Pinpointing abnormal operations that may indicate potential issues or vulnerabilities.
- Providing a systematic approach to analyzing and improving workflows.
Benefits of this technology:
- Improved efficiency and performance of complex systems.
- Enhanced decision-making based on data-driven insights.
- Proactive identification and resolution of potential weaknesses or vulnerabilities.
Original Abstract Submitted
A system and related method identify a weakness of a workflow in a complex system. The method collects runtime data about the complex system. The complex system comprises a plurality of subcomponents, and the method identifies an abnormal operation in the complex system. The method constructs a multi-dimensional cause-and-effect relation matrix among the plurality of subcomponents, and filters one or more related operations using the multi-dimensional cause-and-effect relation matrix.
