Broadband Mode Decomposition and Its Application to the Quality Evaluation of Welding Inverter Power Source Signals
Broadband Mode Decomposition and Its Application to the Quality Evaluation of Welding Inverter Power Source Signals
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DOI：
10.1109/tie.2019.2955429
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发表时间：
2020-11
影响因子：
7.7
通讯作者：
Yanfeng Peng;Zepei Li;K. He;Yanfei Liu;Qingxian Li;Liangjiang Liu
中科院分区：
文献类型：
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作者：
Yanfeng Peng;Zepei Li;K. He;Yanfei Liu;Qingxian Li;Liangjiang Liu
提出了一种新的数据驱动的自适应分解方法-宽带模式分解（BMD），用于分析方波信号和窄带信号等含有宽带成分的复杂信号。对于具有“尖角”的有效宽带信号，由于Gibbs现象和极值点的插值，在应用变分模式分解（VMD）和集合经验模式分解（EEMD）等方法时会产生不可避免的误差。因此，我们提出BMD分离宽带模式，窄带模式，和噪声在一个复杂的非平稳信号。首先，建立了由典型宽带信号和窄带信号组成的联想词典库。其次，以平滑函数为优化目标函数，以宽带信号的幅度、频率和相位以及窄带信号的滤波器参数为优化参数。第三，稀疏分解结果通过使用人工化学反应优化算法搜索字典来获得。仿真和实验信号分析表明，BMD是更准确的EEMD和VMD在提取宽带成分的噪声信号，BMD是适合的焊接逆变电源信号的质量评估。
This article proposes a novel data-driven adaptive decomposition method named broadband mode decomposition (BMD) for analyzing complex signals containing broadband components, such as square signals and sawtooth signals. For effective broadband signals with “sharp corners,” an unavoidable error occurs when applying former methods, such as variational mode decomposition (VMD) and ensemble empirical mode decomposition (EEMD), due to the Gibbs phenomenon and the interpolation of extreme points. Therefore, we propose BMD for separating the broadband modes, narrowband modes, and noise in a complex nonstationary signal. First, an associative dictionary library consisting of typical broadband signals and narrowband signals is established. Second, a smoothness function is employed as the optimization objective function, and the amplitude, frequency, and phase of the broadband signals and the filter parameters of the narrowband signals are applied as optimization parameters. Third, the sparsest decomposition results are obtained by searching the dictionary using an artificial chemical reaction optimization algorithm. The simulation and experimental signal analyses indicate that BMD is more accurate than EEMD and VMD in extracting broadband components from a noisy signal and that BMD is suitable for quality evaluations of welding inverter power source signals.