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Alvin Chen

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Aug 2026

Unsupervised online anomaly detection in laser powder bed fusion via statistical time-series methods: An experimental assessment and feasibility study

Metal additive manufacturing (AM) processes are susceptible to in-process faults that compromise part quality or interrupt printing. Early defect detection enables process intervention, reducing lead time and material waste. This work presents a statistical time-series framework for online anomaly detection in laser...

Alvin Chen, F. Kopsaftopoulos, Sandipan Mishra · 0 citations

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