Corona Detection Using Audio Data and Time Window Analysis
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Solution Overview
Problem
Existing methods for detecting corona in electrical systems, such as ultraviolet detection and RF emission detection, are cumbersome, expensive, and non-autonomous, making them inefficient for reliable corona detection.
Innovation Solution
A method utilizing audio data to detect corona, where audio data is obtained and partitioned into time windows, and a signal indicative of corona presence is determined based on energy ratios within these time windows, allowing for autonomous and cost-effective detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ultraviolet cameras are used for corona detection, then detection capability is improved, but device cost and size increase
Solution Approach 1:
The patent replaces complex optical detection systems (ultraviolet cameras) with a simpler acoustic detection system using microphones and signal processing. The corona discharge produces characteristic acoustic emissions that can be detected and analyzed through audio signal processing, eliminating the need for expensive ultraviolet imaging equipment while maintaining detection capability.
Solution Approach 2:
The patent employs inexpensive microphones and standard audio processing equipment instead of costly ultraviolet cameras. The system uses readily available audio sensors and processing algorithms that are significantly cheaper and more compact than specialized ultraviolet detection equipment, making corona detection accessible and practical for widespread deployment.
2Measurement precision
If manual operation is required for corona detection, then detection accuracy can be maintained, but operational efficiency decreases
Solution Approach 1:
The patent implements autonomous corona detection through automated signal processing algorithms that continuously analyze audio data without human intervention. The system automatically identifies corona events, determines their locations, and generates detection reports, eliminating the need for manual operation while maintaining high detection accuracy through sophisticated pattern recognition and signal analysis.
Solution Approach 2:
The system incorporates continuous monitoring and automated feedback mechanisms where detection results are immediately processed and analyzed. The algorithm continuously adjusts its analysis based on incoming audio signals, providing real-time corona detection and enabling rapid response without manual intervention, thus improving both accuracy and operational efficiency.
3Reliability
If comprehensive audio analysis is performed, then detection reliability is improved, but processing time increases
Solution Approach 1:
The patent divides the audio signal analysis into discrete time windows and frequency bands, processing segments of the audio data independently. This segmentation allows the system to perform comprehensive analysis of corona characteristics across different time periods and frequency ranges without requiring excessive total processing time, as each segment can be analyzed efficiently and results aggregated.
Solution Approach 2:
The system employs periodic sampling and analysis of audio signals at optimized intervals, performing comprehensive detection at regular time windows. This periodic approach ensures reliable detection of corona events while maintaining efficient processing rates, analyzing audio data at strategically determined intervals rather than continuously processing every data point.
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 enables reliable and efficient detection of corona in electrical systems using less expensive equipment, such as microphones, and reduces the likelihood of false positives, improving the processing efficiency of computing resources.
Implementation Method 1
a microphone 302 configured to obtain audio data indicative of audio of an electrical system
Implementation Method 2
Corona is a type of electric discharge occurring in electrical systems in areas of very high electric field strength. Corona can be characterized by a glow, electromagnetic emanation, and/or a sound
Data Source
AI summary
Systems, methods, and apparatus for corona detection using audio data are provided. In one example embodiment, the method includes obtaining, by one or more computing devices, audio data during at least one time interval, the time interval including a plurality of time windows; partitioning, by the one or more computing devices, the audio data into a plurality of window audio data each corresponding to a respective one of said time windows; and determining, by the one or more computing devices, a signal indicative of a presence of corona based at least in part on at least one window audio data relative to a remainder audio data.