Erika M. Boerman
University of Missouri
13 Papers
74 Citations
Erika M. Boerman is an academic researcher from University of Missouri. The author has contributed to research in topics: Computer science & Knowledge-based systems. The author has an hindex of 4, co-authored 13 publications. Previous affiliations of Erika M. Boerman include CVPath Institute.
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Papers
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
TL;DR: A theoretical basis and roadmap to further study or build MVCMFD-MTs using information from the machined surface texture is provided, and current challenges and potential research directions in nowadays intelligent manufacturing are discussed.
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An automatic method for constructing machining process knowledge base from knowledge graph
TL;DR: An automatic construction framework for the process knowledge base in the field of machining based on knowledge graph (KG) is introduced and a hybrid algorithm based on an improved edit distance and attribute weighting is built to overcome the redundancy in the knowledge fusion stage.
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Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
TL;DR: In this paper , a comprehensive review of machine vision-based condition monitoring and fault diagnosis of machine tools is presented, which aims to provide researchers and engineers with a theoretical basis and roadmap to further study or build MVCMFD-MTs using information from the machined surface texture.
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An automatic method for constructing machining process knowledge base from knowledge graph
TL;DR: In this article , an automatic construction framework for the process knowledge base in the field of machining based on knowledge graph (KG) is introduced, and a knowledge extraction framework based on BERT-BiLSTM-CRF is established to perform the automatic knowledge extraction of process text.
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Rapid manufacturing of silica glass parts with complex structures through stereolithography and pressureless spark plasma sintering
TL;DR: In this paper , a method for preparing silica glass by pressureless spark plasma sintering (PL-SPS) was reported, which can rapidly manufacture complex structures by coupling with stereolithography 3D printing technology.
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