Arc Detection Apparatus Frequency Band Segmentation Noise Filtering
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Solution Overview
Problem
Existing arc detection technologies in power systems fail to distinguish between noise generated during normal operation and actual arcs, leading to incorrect arc detection and potential electrical fires.
Innovation Solution
A digital processing technique involving a current sensor, frequency data creator, and arc determination unit that senses current in specific frequency bands, processes data in different time periods, and compares frequency data to determine the possibility of arc generation, effectively differentiating between noise and arcs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional arc detection technology is used in power systems with power converters, then arc detection capability is provided, but noise from power converter operation causes incorrect arc detection
Solution Approach 1:
The patent segments the frequency spectrum into multiple frequency bands and processes each band separately. By dividing the detection task into frequency-specific segments, the system can identify arc characteristics in specific frequency ranges while filtering out noise from power converter operations that occur at different frequencies, thereby improving detection accuracy amidst noise interference
Solution Approach 2:
The patent applies partial action by focusing detection efforts on specific frequency bands where arc signatures are most prominent, rather than uniformly processing all frequencies. This selective approach allows the system to concentrate computational resources on detecting arc-related frequency components while ignoring frequency ranges dominated by power converter noise, thus improving reliability without requiring excessive processing of all frequency data
2Measurement precision
If digital processing is applied to distinguish noise from arcs, then detection accuracy improves, but processing complexity increases
Solution Approach 1:
The patent divides the complex digital processing task into smaller, manageable frequency band processing units. Each frequency band is processed independently using standardized algorithms, which reduces the overall computational complexity compared to analyzing the entire spectrum at once. This segmentation allows the system to achieve high measurement precision through focused analysis while keeping individual processing modules relatively simple
Solution Approach 2:
The patent changes the parameter of analysis from time-domain current signals to frequency-domain representations. By transforming the detection approach to work in the frequency domain, the system can naturally separate arc signatures from power converter noise based on their different frequency characteristics. This parameter transformation simplifies the discrimination task and improves precision without requiring overly complex time-domain processing algorithms
Data Source
AI summary
The present provides an arc detection apparatus that includes: a current sensor configured to sense the first current that flows through the first line of a system in which the influence of noise according to the operation is detected in the first frequency band; a frequency data creator configured to digitally process sensed values of the first current in the first time period and the second time period, respectively, in order to thereby create the first frequency data and the second frequency data for the first frequency band; and an arc determination unit configured to determine the possibility of the generation of an arc of the system according to comparison data between the first frequency data and the second frequency data.