Work

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

Year: 2026

Type: article

Source: Structural Health Monitoring

DOI: 10.1177/14759217261475693

Authors: Alvin Chen, Fotis Kopsaftopoulos, Sandipan Mishra

Institution: Rensselaer Polytechnic Institute

Language: English

Topic: Additive Manufacturing Materials and Processes

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: A PDE Framework for Sensing and Control of Metal Additive Manufacturing

OpenAlex ID: W7204183814

FWCI:

Cites: 58

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