Remote machine mode detection in cold forging using vibration signal-Reference-Cited by-同舟云学术

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Remote machine mode detection in cold forging using vibration signal

Published:2020 Issue: Volume:48 Page:908-914
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

Glaeser Andrew,Selvaraj Vignesh,Lee Kangsan,Lee Namjeong,Hwang Yunseob,Lee Sooyoung,Lee Seungchul,Min Sangkee

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference17 articles.

1. An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities;O’Donovan;Journal of Big Data,2015

2. Smart Manufacturing;Davis;Annual Review of Chemical and Biomolecular Engineering,2015

3. Smart manufacturing;Kusiak;International Journal of Production Research,2018

4. An automatic system based on vibratory analysis for cutting tool wear monitoring;Rmili;Measurement,2016

5. Force based tool wear monitoring system for milling process based on relevance vector machine;Wang;Advances in Engineering Software,2014

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1. Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model;Journal of Intelligent Manufacturing;2024-01-16

2. A Systematic Review of Factors Affecting the Process Parameters and Various Measurement Techniques in Forging Processes;steel research international;2023-02-05

3. Industrial Internet of Things on integrated preventive maintenance and enterprise-resource-planning systems: A case study of fastener forming manufacturing processes;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2022-08-15

4. Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines;Energy;2022-01

5. System for Real-time Measurement and Monitoring of Forging Force of Screw-forming Machine;Sensors and Materials;2021-11-25

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