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Published in 2019 at "Wear"
DOI: 10.1016/j.wear.2019.202968
Abstract: Abstract Wear particle classification is an important approach to analysing wear faults. However, it has always been a challenging task for automatic recognition of wear debris in complex ferrography images. To this end, a convolutional…
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Keywords:
model;
particle recognition;
wear particle;
fecnn model ... See more keywords