Fault Trend Analysis System for Enterprise Computer Systems
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Solution Overview
Problem
Existing fault administration applications in enterprise computer systems are inefficient in identifying and summarizing critical fault areas, requiring manual correlation of data, which is time-consuming and error-prone, and fail to provide category-based summaries.
Innovation Solution
A system and method that automatically analyzes fault records by assigning weights, calculating statistics, and flagging important fault categories to generate analytical reports, identifying key problem areas and reducing analysis time from hours to minutes or seconds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual correlation of fault data is performed, then detailed analysis can be conducted, but time consumption increases significantly
Solution Approach 1:
The patent replaces the manual mechanical process of correlating fault data with an automated computer-based system that uses algorithms to identify fault categories and relationships, thereby maintaining analytical accuracy while dramatically reducing time consumption
Solution Approach 2:
The patent introduces an intermediary fault analysis system that acts as a mediator between raw fault data and human analysts, automatically processing and correlating data to produce structured insights that reduce the time burden on users while preserving analytical depth
2Loss of information
If comprehensive fault data collection is implemented, then complete fault information is available, but data complexity increases making analysis difficult
Solution Approach 1:
The patent segments comprehensive fault data into distinct categories and groups based on relationships and patterns, organizing the complex information into manageable sections that maintain completeness while reducing analytical complexity through structured classification
Solution Approach 2:
The patent creates a universal fault analysis framework that handles multiple types of fault data through a single integrated system, allowing diverse fault information to be processed uniformly and reducing complexity by providing a common approach to varied data types
3Loss of information
If detailed fault reports are generated, then comprehensive fault information is provided, but actionable insights are difficult to identify
Solution Approach 1:
The patent extracts key actionable insights from comprehensive fault reports by identifying and highlighting the most significant fault categories and patterns, separating critical information from detailed data to make actionable insights immediately visible while preserving access to complete information when needed
Solution Approach 2:
The patent uses visual indicators such as color coding to differentiate fault severity and categories in reports, making it easier to quickly identify actionable insights among detailed fault information through intuitive visual cues that guide user attention to priority areas
Data Source
AI summary
A set of fault records representing faults previously detected in an enterprise computer system is received and analyzed. The analysis comprises a variety of analytical operations and results in a report provided to a user, the report particularly including a set of fault sources identified as highly important to address, with respect both to the system as a whole and to particular categories of faults.