MTConnect를 활용한 수치제어 프로그램의 에너지 예측 모델링Energy Prediction Modeling for Numerical Control Programs Using MTConnect
- Other Titles
- Energy Prediction Modeling for Numerical Control Programs Using MTConnect
- Authors
- 신승준; 우정엽; 서원철; 정여진
- Issue Date
- May-2017
- Publisher
- 한국정밀공학회
- Keywords
- Data analytics; Energy prediction; Machine tool; Machine-learning; MTConnect
- Citation
- 한국정밀공학회지, v.34, no.5, pp.355 - 362
- Indexed
- SCOPUS
KCI
- Journal Title
- 한국정밀공학회지
- Volume
- 34
- Number
- 5
- Start Page
- 355
- End Page
- 362
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152378
- DOI
- 10.7736/KSPE.2017.34.5.355
- ISSN
- 1225-9071
- Abstract
- In the metal-cutting industry, energy prediction is important for environmentally-conscious manufacturing because it enables a numerical anticipation of the energy consumption from the input of the process parameters, and therefore it contributes to the increasing of the energy-efficiency of the machine-tool operations. This paper proposes an energy-prediction modeling approach for numerical-control programs based on historical machine-monitoring data that have been collected from machine-tool operations. The proposed approach can create accurate energy-prediction models that forecast the energy that is consumed by the execution of a numerical-control program. Also, it can create machine-specific energy-prediction models that accommodate the variety of shop-floor machining contexts. For this purpose, it uses MTConnect to represent the machine-monitoring data to embody an interoperable data-collection environment regarding the shop floor. This paper also presents a case study to show the feasibility and practicability of the proposed approach.
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