대한기계학회:학술대회논문집 (Proceedings of the KSME Conference)
- 대한기계학회 2008년도 추계학술대회A
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- Pages.1069-1074
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- 2008
기어 세이빙 공정에서 베타 확률 분포를 이용한 공구 상태 검출
Tool condition monitoring using parameters of beta distribution in gear shaving process
- 발행 : 2008.11.05
초록
Tool condition monitoring (TCM) is crucial for improvement of productivity in manufacturing process. However, TCM techniques have not been applied to monitor tool failure in an industrial gear shaving application. Therefore, this work studied a statistical TCM method for monitoring gear shaving tool condition. The method modeled the shaving process using beta probability distribution in order to extract the effective features. Modeling includes rectifying for converting a bi-modal distribution into a unimodal distribution, estimating parameters of beta probability distribution based on method of moments. The usefulness of features obtained from the proposed method was evaluated and discussed.
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