Open AccessNovel protection scheme for residual current device‐based electric fault time detection and touch current identification
Author(s) -
Han Xiaohui,
Sheng Wanxing,
Du Songhuai,
Su Juan,
Liu Guangeng
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0968
Subject(s) - residual , support vector machine , current (fluid) , identification (biology) , fault (geology) , skewness , fault detection and isolation , scheme (mathematics) , engineering , identification scheme , computer science , electric shock , control theory (sociology) , artificial intelligence , algorithm , data mining , electrical engineering , mathematics , statistics , mathematical analysis , botany , seismology , geology , actuator , biology , control (management) , measure (data warehouse)
This study proposes a novel protection scheme for residual current devices (RCDs) based on the theory of skewness and the least squares‐support vector machine (LS‐SVM). The skewness of the residual current is applied to detect the electric shock fault time, and the LS‐SVM regression technique is used to perform touch current identification. The experimental test results indicate that the protection scheme can not only detect the electric shock fault time correctly and rapidly but also effectively recognise the circulation through the animal's current. Moreover, the proposed protection technique can provide valuable information for developing new generations of RCDs.