Network Component Reliability via Dynamic Acceleration Factor
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Solution Overview
Problem
Existing methods for estimating the reliability of network components, such as optical transceivers, assume constant ambient temperature and humidity conditions, which does not accurately reflect real-world operating conditions, leading to inaccurate operational life estimates and potential over-specification or under-specification of components.
Innovation Solution
A method that involves obtaining samples of operating parameters over time, determining an acceleration factor based on these samples, and using this factor to calculate a more accurate Mean Time to Failure (MTTF) metric, taking into account actual environmental conditions experienced by the network component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If constant ambient temperature and humidity conditions are assumed for reliability calculation, then the calculation process is simple, but the reliability estimate is inaccurate
Solution Approach 1:
The patent transforms the static reliability calculation into a dynamic one by continuously collecting operating parameter samples (temperature, humidity) and updating the acceleration factor in real-time. This allows the reliability estimate to adapt to changing environmental conditions while maintaining a systematic calculation approach.
Solution Approach 2:
The patent changes the calculation from using fixed constant parameters to using dynamically varying parameters. By incorporating actual operating parameter samples collected over time, the acceleration factor and consequently the reliability estimate reflect real-world conditions, improving accuracy without excessive complexity.
2Measurement precision
If actual operating conditions are taken into account, then the reliability estimate is more accurate, but the data collection and processing complexity increases
Solution Approach 1:
The patent employs a network management system that already exists in telecommunications networks to perform the data collection and processing functions. This multi-functional system handles both traditional network management tasks and the additional reliability calculation tasks, avoiding the need for separate dedicated hardware or software systems.
Solution Approach 2:
The patent introduces an intermediary acceleration factor that bridges the gap between raw operating parameter samples and the final reliability estimate. This intermediary simplifies the processing by consolidating the effect of multiple environmental parameters into a single factor that can be directly applied to the reliability calculation.
3Ease of manufacture
If static MTTF/FIT estimates are used, then spare parts inventory can be dimensioned, but the operational life prediction does not reflect real-world conditions
Solution Approach 1:
The patent performs preliminary reliability calculations using static MTTF/FIT estimates to enable initial spare parts inventory planning. This preliminary action provides a baseline that can be later refined with dynamic calculations, ensuring that inventory planning can proceed even before detailed operational data is available.
Solution Approach 2:
The patent implements a feedback mechanism where actual operating parameter samples collected during network operation are continuously fed into the reliability calculation system. This feedback loop allows the reliability estimate to be updated and refined over time, progressively improving the operational life prediction accuracy while maintaining the ability to plan spare parts inventory.
Data Source
AI summary
The present disclosure relates to a method, apparatus and system for determining reliability information for a network component (240) of a telecommunications network. The disclosed method comprises: obtaining (310) a plurality of samples of an operating parameter of the network component (240) acquired over a period of time; determining (320) a value of an acceleration factor based on the plurality of samples, the acceleration factor corresponding to an effect of the operating parameter over time on the network component (240); and determining (330) the reliability information based on the determined value of the acceleration factor.