Binary Reflectometry System for Transmission Line Fault Detection
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Solution Overview
Problem
Current reflectometry systems for fault detection in transmission lines are complex and costly due to the need for digital-analog and analog-digital converters, which limit precision and increase memory requirements, making it difficult to accurately detect and localize faults, especially soft faults.
Innovation Solution
A binary reflectometry system that eliminates the need for converters by using a binarization device to convert analog signals into binary signals, which are then correlated with a reference signal using logic circuits, reducing the complexity and memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If digital-analog and analog-digital converters are used in reflectometry systems, then signal conversion between domains is achieved, but system complexity and cost increase significantly
Solution Approach 1:
The patent extracts and removes the converter components (digital-analog and analog-digital converters) from the reflectometry system. By using binary signals directly in the digital domain and comparing the transmitted binary signal with the received signal through digital correlation, the system achieves fault detection without requiring signal conversion between analog and digital domains, thereby reducing system complexity while maintaining detection accuracy.
Solution Approach 2:
The patent substitutes the traditional converter-based signal conversion mechanism with a digital signal processing approach. Instead of using analog-digital converters to process reflected signals, the system uses digital correlation of binary signals to detect faults, replacing the mechanical/converter-based conversion process with a digital computational process that is simpler and more reliable.
2Measurement precision
If high-precision converters are used to detect soft faults, then measurement precision improves, but memory requirements and system complexity increase
Solution Approach 1:
The patent changes the parameter of signal representation from multi-bit digital signals requiring high-precision conversion to binary signals (0 and 1 only). This parameter change allows the system to achieve sufficient measurement precision for detecting soft faults using simple binary correlation, dramatically reducing memory requirements and system complexity while maintaining the ability to detect subtle fault signatures.
Solution Approach 2:
The patent uses simple binary signals that can be generated and processed with minimal resources. The binary nature of the signals allows for extremely simple storage and processing requirements compared to high-precision multi-bit signals, enabling the system to achieve fault detection with minimal memory and computational resources.
3Measurement precision
If multi-bit digital signals are used for accurate fault detection, then detection accuracy improves, but the number of operations and calculation complexity increase
Solution Approach 1:
The patent changes the signal parameter from multi-bit digital values to binary values (0 and 1). This parameter change simplifies the correlation calculation from multi-bit arithmetic operations to simple binary comparisons, dramatically increasing calculation speed and productivity while maintaining sufficient detection accuracy for practical fault diagnosis applications.
Solution Approach 2:
The patent extracts only the essential binary information from the reflected signal and discards the redundant multi-bit precision that is not necessary for fault detection. By focusing on binary correlation rather than full multi-bit signal processing, the system achieves faster calculation speeds while maintaining the ability to detect faults effectively.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate fault detection and localization with reduced system complexity and memory usage, enhancing the precision of fault identification and localization without the limitations of traditional converter-based systems.
Implementation Method 1
The signal propagates along the cable and is reflected on the singularities that it comprises
Implementation Method 2
a binarization device for quantizing said back-propagated analog signal into a signal digitized over two quantization levels
Implementation Method 3
A correlator configured for correlating the digitized signal with the reference signal in order to produce a time-domain reflectogram
Data Source
AI summary
A reflectometry system for analyzing faults in a transmission line, a reference signal being generated, in an initial step, and injected in the transmission line, the system includes a device (CPL) for acquiring the analog signal back-propagated in the transmission line, an equalization circuit (EGA) configured for equalizing the amplitudes obtained on the reflectogram for the peaks of the injected signal after its point of injection into the transmission line and of the signal reflected on the end of the transmission line, a binarization device (B) for converting the back-propagated analog signal into a signal digitized over two quantization levels, a correlator (COR) configured for correlating the digitized signal with the reference signal in order to produce a time-domain reflectogram, a module for analyzing the time-domain reflectogram in order to identify the presence of faults in the transmission line.