Open AccessResearch on Detection and Fault Diagnosis Technology of Electric Vehicle Charging Facilities
Author(s) -
Yong Xiao,
Ji Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/2/022100
Subject(s) - fault (geology) , waveform , computer science , reliability engineering , fault detection and isolation , real time computing , engineering , voltage , artificial intelligence , electrical engineering , seismology , geology , actuator
This paper uses waveform analysis method and data flow analysis method to study fault diagnosis and elimination. Based on the experimental results, the data flow analysis method and waveform analysis method of the vehicle were analyzed in depth. Apply fault diagnosis to find a fast fault diagnosis scheme to determine the hidden dangers of charging pile failure. The advantages and disadvantages of various fault diagnosis methods in maintenance practice are obtained.