Arc fault

especially series arc fault

has been the primary cause of electrical fire

which is intermittent

hidden

random and uncertain

difficult to detect

and serious harm. The characteristics of arc fault are firstly analyzed

including the division of arc fault and its detection difficulties. Secondly

the methods for series arc fault detection at home and abroad are explained

which are divided into detection methods based on the physical phenomenon of arc fault

detection methods based on arc models and simulation technology

and detection methods based on time-frequency characteristics

voltage and current. Among them

the focus is on the recent hot new deep learning methods

introducing AC and DC arc fault detection technologies respectively. Finally

from the perspective of practical application

the problems that need to be solved urgently in the detection scheme of series arc fault are pointed out

and the research and optimization direction of series arc fault detection in the future are prospected.