Failure Detection via Pre- and Post-Recovery Configuration Comparison
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Solution Overview
Problem
Existing systems face challenges in detecting failure occurrences caused by setting value errors or omissions, as they rely on comparing configuration information before and after failure recovery, which is insufficient for identifying the cause of failure and determining suitable setting changes.
Innovation Solution
A method involving a sign detection apparatus that uses both correct and erroneous learning data to compare with set values, generating patterns and specific scores to determine the likelihood of correct or erroneous settings, thereby identifying suitable setting change items for failure detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If configuration information is compared before and after failure recovery, then failure signs can be detected, but the accuracy of detecting setting value errors and omissions is insufficient
Solution Approach 1:
The patent segments the detection process into two distinct comparison modes: comparing current configuration against configuration before failure occurrence, and comparing against configuration after failure recovery. This segmentation allows the system to specifically detect both setting value errors (where current matches pre-failure but differs from post-recovery) and setting omissions (where current differs from both pre-failure and post-recovery), thereby improving detection accuracy while maintaining reliability
Solution Approach 2:
The patent implements feedback by using post-recovery configuration information to refine and update the baseline for future comparisons. When a failure is detected and recovered, the post-recovery configuration becomes part of the reference data, creating a feedback loop that continuously improves detection accuracy. This feedback mechanism allows the system to learn from actual recovery outcomes and adapt to correct configuration states
2Measurement precision
If multiple comparison methods are used to improve detection accuracy, then setting errors and omissions can be identified, but the system complexity increases
Solution Approach 1:
The patent applies universality by designing a single determination device that performs multiple comparison functions through different determination units. The first determination unit compares current configuration with pre-failure configuration, while the second determination unit compares with post-recovery configuration. Both units operate within the same device using a unified data structure and comparison logic, enabling multi-functionality without proportionally increasing overall system complexity
Solution Approach 2:
The patent changes the parameter being compared rather than adding entirely new detection mechanisms. By switching between comparing against pre-failure configuration and post-recovery configuration, the system achieves enhanced detection accuracy through parameter variation. This approach avoids the need for fundamentally different detection systems, thereby controlling complexity while improving precision
Data Source
AI summary
A determination method, for determining a possibility of a new failure in a system, includes: obtaining first setting values for a plurality of setting items of the system when a failure in the system occurs; obtaining second setting values for the plurality of setting items when an input that the failure has been recovered is received; identifying at least one setting item from among the plurality of setting items based on the first setting values and the second setting values, the at least one setting item having a first setting value different from a second setting value; determining a value from among the first value and the second value of the at least one setting item; comparing an input value regarding the at least one setting item and the value; determining the possibility based on a result of the comparing; and outputting information regarding the possibility.