Ardila-Rey Jorge Alfredo, Montaña Johny, de Castro Bruno Albuquerque, Schurch Roger, Covolan Ulson José Alfredo, Muhammad-Sukki Firdaus, Bani Nurul Aini
Department of Electrical Engineering, Universidad Técnica Federico Santa María, Av. Vicuña Mackenna 3939, Santiago de Chile 8940000, Chile.
Department of Electrical Engineering, Universidad Técnica Federico Santa María, Av. España 1680, Valparaiso 2340000, Chile.
Sensors (Basel). 2018 Mar 29;18(4):1021. doi: 10.3390/s18041021.
Partial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets such as machines and power cables. Generally, the classical phase-resolved partial discharge (PRPD) patterns are used to perform the identification of the type of PD source when they are related to a specific degradation process and when the electrical noise level is low compared to the magnitudes of the PD signals. However, in practical applications such as measurements carried out in the field or in industrial environments, several PD sources and large noise signals are usually present simultaneously. In this study, three different inductive sensors have been used to evaluate and compare their performance in the detection and separation of multiple PD sources by applying the chromatic technique to each of the measured signals.
局部放电（PDs）是发生在电气绝缘内部的最重要的老化过程之一。局部放电检测是一种用于评估诸如电机和电力电缆等电气设备中绝缘状态的标准化技术。通常，当经典的相分辨局部放电（PRPD）模式与特定的劣化过程相关，并且与局部放电信号的幅度相比电气噪声水平较低时，可用于识别局部放电源的类型。然而，在实际应用中，例如在现场或工业环境中进行的测量，通常会同时存在多个局部放电源和大噪声信号。在本研究中，通过对每个测量信号应用色度技术，使用了三种不同的感应式传感器来评估和比较它们在检测和分离多个局部放电源方面的性能。
