Satellite Terminal Diagnosis Using Normalized Peer Group Deviations
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Solution Overview
Problem
Existing satellite communication systems face inefficiencies in diagnosing specific problems with satellite terminals, leading to inefficiencies in repairs and potential service interruptions due to lack of specificity in initial diagnoses.
Innovation Solution
A method and system that normalize operational statistics of satellite terminals within peer groups, comparing deviations to thresholds to determine diagnosis zones and diagnose specific problems based on problem signatures, allowing for more accurate and efficient identification of issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If statistical measurement data from satellite terminals is obtained for analysis to determine service problems, then diagnostic capability is improved, but measurement precision and diagnostic specificity remain insufficient
Solution Approach 1:
The patent transforms raw statistical measurement data into normalized deviation values by comparing each terminal's measurements against peer group averages and standard deviations. This parameter transformation enables precise differentiation between terminals with actual problems and those with normal variations, significantly improving diagnostic specificity while maintaining reliability.
Solution Approach 2:
The patent replaces manual diagnostic methods with an automated statistical analysis system that processes measurement data through standardized algorithms. This substitution of mechanical/manual processes with computational methods enables more precise and consistent diagnostic results across all terminals.
2Ease of operation
If initial diagnosis is performed using customer service representative interaction and statistical data, then diagnostic process is simplified, but repair efficiency decreases due to lack of specificity
Solution Approach 1:
The system performs self-diagnosis by automatically analyzing statistical measurement data and generating specific problem identifications without requiring manual intervention. The automated peer group comparison and statistical analysis conduct the diagnostic process independently, providing specific results that directly guide repair actions and improve efficiency.
Solution Approach 2:
The patent implements continuous feedback loops where statistical measurement data is collected, analyzed against peer groups, and used to generate diagnostic results that feed back into repair processes. This feedback mechanism enables ongoing monitoring and adjustment, improving both diagnostic accuracy and repair efficiency.
3Reliability
If service technicians configure terminals for optimal use during installation, then terminal performance is improved, but diagnostic accuracy for subsequent problems decreases due to lack of baseline comparison
Solution Approach 1:
The patent establishes peer group baselines during the installation phase when terminals are configured for optimal use. These baseline measurements are stored and used as reference points for subsequent diagnostic comparisons. This preliminary action creates accurate comparison standards that enable precise detection of deviations from optimal performance, improving diagnostic accuracy while maintaining terminal performance.
Data Source
AI summary
Systems and methods for problem signature terminal diagnosis are disclosed. In an example embodiment, measured operational statistics of a satellite terminal of a peer group of satellite terminals are received and converted into normalized operation statistics. Normalized deviations of the operational statistics are determined and compared to the threshold deviations. A diagnosis zone corresponding to a problem signature is determined based on the normalized deviations by determining that coordinates of the normalized deviations are within the diagnosis zone, comparing a ratio based on the normalized deviations to a threshold ratio, or comparing a differential of the normalized deviations to a threshold differential. A satellite terminal is diagnosed with a problem defined by the problem signature based on the determined diagnosis zone.