Communication Diagnosis Using Statistical Limit Values
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Solution Overview
Problem
Existing communication connection diagnosis systems rely on 'worst case' limit values, which fail to detect minor errors that do not immediately disrupt transmission quality, potentially leading to later failures.
Innovation Solution
A statistical mathematical method is applied to diagnosis data to determine new, more realistic limit values by evaluating data from multiple diagnosis units, comparing values to determine upper and lower limits, and analyzing deviations to detect errors that would be missed by worst case analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If worst case limit values are used for diagnosis, then system reliability is ensured under extreme conditions, but measurement precision deteriorates because minor errors within the limits cannot be detected
Solution Approach 1:
The patent changes the diagnostic parameters from fixed worst-case limit values to dynamic statistical limit values that adapt to actual system performance. By collecting diagnosis data over time and analyzing statistical distributions, the system determines realistic upper and lower limit values that reflect actual operating conditions, enabling detection of deviations that would be invisible against worst-case thresholds.
Solution Approach 2:
The system performs preliminary data collection and statistical analysis to establish realistic limit values before actual error detection begins. By gathering diagnosis data from multiple sources and pre-processing it statistically, the system prepares accurate reference thresholds that enable early detection of potential errors before they become critical failures.
2Measurement precision
If statistical evaluation of multiple diagnosis units is performed, then error detection capability is improved, but device complexity increases
Solution Approach 1:
The evaluation unit is designed as a multi-functional component that performs statistical data collection, distribution analysis, limit value determination, and error detection across multiple diagnosis units. This universal approach consolidates what would otherwise require separate specialized systems, managing complexity through functional integration while maintaining high error detection capability.
Solution Approach 2:
The patent merges multiple diagnosis units and their data streams into a single statistical evaluation process. By combining data from first and second diagnosis units and processing them together through statistical analysis, the system achieves enhanced error detection without requiring proportionally increased system complexity, as the evaluation unit handles multiple inputs through a unified statistical framework.
Data Source
AI summary
The invention relates to a method and system for diagnosing communication connections in a communication system. The invention enables the provision of a plurality of first diagnosis units and at least one second diagnosis unit, wherein the first and second diagnosis units each are assigned to a communication connection of the communication system and are configured for determining a value of a diagnosis variable of the respectively assigned communication connections, and provides for determining a value of at least one diagnosis variable by each of the first diagnosis units, determining a value of at least one diagnosis variable by the at least one second diagnosis unit, transferring the values determined by the first diagnosis units to an evaluation unit, statistically evaluating the transferred values by the evaluation unit, and diagnosing the values determined by the at least one second diagnosis unit depending on the statistical evaluation by the evaluation unit.