使用里叶,短时间里叶,连续和离散波量变换来感知电源质量干扰
M S Priyadarshini1, Mohit Bajaj2,3,4,5, Lukas Prokop6
1Department of Electrical and Electronics Engineering, K. S. R. M. College of Engineering (Autonomous), Kadapa, 516005, India.
Scientific reports
|February 10, 2024
概括
这项研究比较了里叶,短时间里叶,连续波段和离散波段变换来分析电源质量干扰. 这些信号处理技术为电压和电流变化提供了不同的洞察力,有助于更好地监控电力系统.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 电力系统 电力系统
背景情况:
- 恒定的电源供应和坚持电压范围对于电力公用事业来说至关重要,以防止设备故障.
- 电力质量 (PQ) 干扰,定义为电压或电流的变化,需要谨慎监控和管理.
- 信号处理方法对于分析电压干扰信号和在电力系统中检索重要信息至关重要.
研究的目的:
- 为了比较福里埃变换,短时间福里埃变换 (STFT),连续波段变换 (CWT) 和离散波段变换 (DWT) 在感知功率质量干扰方面的有效性.
- 使用MATLAB分析和可视化电源质量干扰.
- 为电力质量研究提供关于每个信号处理技术优缺点的见解.
主要方法:
- 使用富里埃转换来获取频率信息.
- 用于时间频率信息的雇员短时间里埃转换 (STFT).
- 应用连续波形变换 (CWT) 用于尺度-时间信号表示.
- 实现了离散波形变换 (DWT) 用于近似和细节系数,表示低频和高频.
主要成果:
- 使用基于MATLAB的可视化来比较每个转换的结果.
- 包括能量值和3D图表在内的比较分析阐明了结果.
- 该研究确定了每个信号处理技术在解释功率质量干扰方面的优缺点.
结论:
- 信号处理技术为理解电源质量干扰提供了多种领域.
- 转换的选择影响信号信息的解释,每个方法提供独特的见解.
- 研究结果有助于全面理解和实际应用信号处理用于电源质量分析.
相关概念视频
Discrete Fourier Transform
285
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
285
Energy and Power Signals
294
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
294
Continuous -time Fourier Transform
318
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
318
Properties of Fourier Transform I
175
The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
175
Discrete-time Fourier transform
322
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
One of the notable...
322
Average Power
598
In practical electrical applications, the concept of time-varying instantaneous power is not frequently utilized. Instead, focus shifts to the more practical quantity known as average power. Average power is determined by integrating the instantaneous power over a specified time period and subsequently dividing it by that duration.
598


