Anomaly Detection and Classification in a Laser Powder Bed Additive Manufacturing Process using a Trained Computer Vision Algorithm
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441 citations
Cites methods from "Anomaly Detection and Classificatio..."
...ML is applied to improve those processes, for example through failure detection [184, 185] or material design [186]....
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Cites background or methods from "Anomaly Detection and Classificatio..."
...(Scime and Beuth 2018a, b)....
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...Scime and Beuth compared the computational time of BoW and MsCNN for anomaly detection and found that the computational time for each layer for the BoW technique was 4 s, which is shorter than that of the MsCNN (7 s) (Scime and Beuth 2018a, b)....
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...Some examples of unsupervised learning algorithms used in AM field are K means clustering (Scime and Beuth 2018a, b, 2019; Snell et al....
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...They compared the BoW technique with multiscale CNN (MsCNN) and found that MsCNN can achieve higher classification accuracies but it is more computationally expensive (75% slower) (Scime and Beuth 2018a, b)....
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...2018; Scime and Beuth 2018a, b; Shevchik et al....
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210 citations
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