2018
DOI: 10.1016/j.forsciint.2018.01.002
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Visual and oxide analysis for identification of electrical fire scene

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Cited by 10 publications
(2 citation statements)
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“…From the statistics of the Emergency Management Department Fire and Rescue Bureau in China [ 1 ], in 2018 electrical fires accounted for 36.6% of the total number of fires in China. In these electrical fires, the main causes included short circuits, overload, poor contact, and electrical equipment failure, among which short circuits, neutral wire floats, and lightning strikes will all make an electrical system overcurrent fault [ 2 , 3 , 4 , 5 ]. Therefore, overcurrent fault is the final manifestation of a variety of electrical fire causes.…”
Section: Introductionmentioning
confidence: 99%
“…From the statistics of the Emergency Management Department Fire and Rescue Bureau in China [ 1 ], in 2018 electrical fires accounted for 36.6% of the total number of fires in China. In these electrical fires, the main causes included short circuits, overload, poor contact, and electrical equipment failure, among which short circuits, neutral wire floats, and lightning strikes will all make an electrical system overcurrent fault [ 2 , 3 , 4 , 5 ]. Therefore, overcurrent fault is the final manifestation of a variety of electrical fire causes.…”
Section: Introductionmentioning
confidence: 99%
“…Physical or chemical testing, such as simple visual observation of the macrostructure, Auger analysis (AES), X-ray photoelectron spectroscopy (XPS), secondary ion mass spectrometry (SIMS) and dendritic arm spacing (DAS) methods, have been proposed to analyze the beads of copper wires residues found in fire scenes [4][5][6][7][8][9][10]. However, most of the methods only entail subjective and qualitative criteria for distinguishing between beads that did or did not start a fire [11,12].…”
Section: Introductionmentioning
confidence: 99%