Signal Analyzer for Data Transmission Error Source Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In complex electronic systems, identifying the source of rare errors in data transmission is challenging due to the complexity and rarity of specific failure occurrences, making it difficult to pinpoint the correct impact causing the error.
Innovation Solution
A signal analyzer and method that acquire and digitize both the affected signal and additional signals, allowing for the detection of predetermined errors and focusing data acquisition on specific error occurrences, thereby simplifying the identification of the source of failure by analyzing signal sequences during error events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data acquisition is performed continuously to capture all possible errors, then the probability of capturing rare errors is improved, but the data processing load and storage requirements increase significantly
Solution Approach 1:
The system performs preliminary error detection by continuously monitoring the first signal through decoding and error detection mechanisms before full data acquisition is triggered. This preliminary monitoring layer enables the system to identify rare errors only when they occur, avoiding the need for continuous full-data acquisition and processing of all signals.
Solution Approach 2:
The system applies partial action by acquiring and processing only the specific signals (first and second signals) when an error is detected, rather than continuously acquiring all possible signals. This selective acquisition approach reduces data processing load while maintaining the ability to capture rare errors effectively.
2Measurement precision
If multiple signals are monitored simultaneously to identify the source of failure, then the accuracy of source identification is improved, but the device complexity and measurement difficulty increase
Solution Approach 1:
The system segments the monitoring task by dividing it into distinct signal channels (first signal and second signal) with dedicated reception and processing paths. This segmentation allows the system to monitor multiple signals simultaneously while maintaining manageable complexity through modular architecture, where each signal can be analyzed independently when errors occur.
Solution Approach 2:
The system introduces an intermediary error detection mechanism that mediates between multiple signal sources and the analysis process. The error detector acts as an intermediary that triggers selective acquisition of specific signals only when errors are detected, simplifying the overall measurement process while maintaining high source identification accuracy.
3Productivity
If signal acquisition is triggered by specific error detection, then the efficiency of troubleshooting is improved, but the risk of missing rare errors that occur between detection intervals increases
Solution Approach 1:
The system maintains continuity of useful action through continuous error detection monitoring of the first signal, ensuring that no rare errors are missed between acquisition intervals. The continuous monitoring layer operates independently with lower resource requirements, guaranteeing that errors are detected and triggered for full analysis without gaps.
Solution Approach 2:
The system performs preliminary continuous error detection before full signal acquisition is triggered. This preliminary action ensures that rare errors are captured reliably by maintaining constant monitoring, while full-acquisition resources are activated only when needed, thus maintaining both reliability and efficiency.
Data Source
AI summary
An analyzer and a method for analyzing a signal, in particular a signal for transmitting data is provided. For analyzing the signal transmission and detecting a specific error, a data signal may be received and analyzed in order to detect one or more types of errors according to predetermined specifications. When such a predetermined error is detected, the signal for transmitting the data and one or more further signals, which may cause the error are acquired. Accordingly, a cause of failure may be easily analyzed based on the acquired signal sequences of the signal for transmitting the data and the additionally acquired signals.