An investigative study of the application of fundamental operations of mathematical morphology in the diagnosis of oscillatory transients

Alessandra B G Hoffmann, C. H. Beuter, M. Oleskovicz
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Abstract

The Oscillatory Transient (OT) has defined characteristics such as a small duration, considerable variations in the voltage and frequency amplitude and can manifest itself in any part of an Electric Power System (EPS). The switching of Capacitor Banks (CBs) mainly causes the OT. The complete methodology to analyse this kind of disturbance should contemplate the study of detection of the beginning of an OT until the extraction of the main characteristics of the analyzed signal. In this research, Mathematical Morphology (MM) is applied to identify the beginning of an OT, focusing on the expansion, opening, and Dilation-Erosion Difference Filter (DEDF) filter operations. In the sequence, a matching search (MPA–Matching Pursuit Algorithm) was applied to extract parameters from a structured data dictionary. Among the results, the application of DEDF stands out, which better identifies the beginning of OT, allowing the parameters of frequency (f), damping (λ) and angle of phase (ϕ) extracted to represent and characterize the analyzed signals.
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数学形态学基本运算在振荡瞬态诊断中的应用研究
振荡暂态(OT)具有持续时间短、电压和频率幅值变化大等特点,可以在电力系统(EPS)的任何部分表现出来。电容组的切换是造成OT的主要原因。分析这类干扰的完整方法应该考虑对OT开始的检测研究,直到提取被分析信号的主要特征。在本研究中,数学形态学(MM)应用于识别OT的开始,重点关注膨胀,打开和膨胀-侵蚀差分过滤器(DEDF)过滤操作。在序列中,采用匹配搜索(MPA-Matching Pursuit Algorithm)从结构化数据字典中提取参数。在结果中,DEDF的应用脱颖而出,它更好地识别了OT的开始,允许提取的频率(f)、阻尼(λ)和相位角(ϕ)参数来表示和表征分析的信号。
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