Component Fault Detection Using Duration and Frequency Analysis
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Solution Overview
Problem
Current fault detection methods in components rely solely on fault duration, leading to inaccurate detection of intermittent hardware faults, reducing reliability and hindering normal operation.
Innovation Solution
A fault detection method that acquires operational data of components under collection metrics, determines fault duration and frequency, and identifies target fault types using reference data to facilitate accurate fault detection and troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fault detection relies solely on fault duration threshold, then the detection method is simple, but the detection accuracy is low and intermittent faults cannot be accurately detected
Solution Approach 1:
The patent changes the detection parameters from solely time-based (duration threshold) to multi-dimensional parameters including fault duration, fault frequency, and fault occurrence times. This allows the system to distinguish between intermittent faults and persistent faults by analyzing multiple parameters simultaneously, thereby improving detection accuracy without requiring complex additional hardware
Solution Approach 2:
The patent adds new dimensions to the fault detection approach by introducing fault frequency and fault occurrence times as additional detection dimensions beyond the traditional time duration. This multi-dimensional analysis enables the system to accurately detect intermittent faults that would be missed by single-parameter threshold methods
2Reliability
If fault detection uses only duration threshold, then the system is easy to operate, but reliability of fault detection is reduced
Solution Approach 1:
The patent performs preliminary classification of fault types (intermittent vs. persistent) based on predefined criteria involving duration, frequency, and occurrence times before triggering fault alerts. This preliminary analysis ensures reliable fault detection by distinguishing true faults from transient anomalies, while the classification rules are pre-configured to maintain ease of operation
3Measurement precision
If fault detection only considers duration, then the detection process is fast, but intermittent hardware faults are missed
Solution Approach 1:
The patent applies partial analysis by first evaluating the most critical parameter (fault duration) to quickly eliminate normal operations, then progressively analyzing additional parameters (frequency, occurrence times) only when needed. This staged approach maintains fast detection for clear-cut cases while achieving high precision for ambiguous intermittent faults
Data Source
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AI summary
A fault detection method, an electronic device, and a storage medium are disclosed. The fault detection method includes acquiring (S110) operational data of at least one component to be detected under at least one collection metric; determining (S120) an analysis result of the operational data based on the operational data acquired in a preset duration, wherein the analysis result includes a fault duration and a fault frequency of the at least one component to be detected in the preset duration; determining (S130) a target fault type of the at least one component to be detected based on the fault duration and the fault frequency in the analysis result, as well as reference data pre-determined corresponding to the at least one component to be detected; and determining (S140) troubleshooting information corresponding to the at least one component to be detected when the target fault type is a preset fault type.