铣床刀具剩余使用寿命的数据驱动预测

2019 IEEE International Conference on Prognostics and Health Management (ICPHM) Pub Date : 2019-06-01 DOI:10.1109/ICPHM.2019.8819400

Yen-Chun Liu, Yuan-Jen Chang, Sheng-Liang Liu, Szu-Ping Chen

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引用次数: 12

摘要

剩余使用寿命(RUL)预测是预后和健康管理(PHM)中最重要的概念之一。本研究采用自回归积分移动平均(ARIMA)方法对铣床刀具的RUL进行了预测。该方法是一种数据驱动模型，具有实现简单、成本低的优点。结果表明，根据预测，该刀具的RUL为35 min。RUL表明大约有25%的额外工具使用。为了提高许多行业的竞争力，PHM技术为智能制造和升级到工业4.0提供了一条途径。

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Data-driven prognostics of remaining useful life for milling machine cutting tools

Remaining useful life (RUL) prediction is one of the most important concepts in prognostics and health management (PHM). In this study, the RUL of milling machine cutting tools is predicted through the methodology of autoregressive integrated moving average (ARIMA). This methodology is a data-driven model that has advantages of simple implementation and low cost. Results show that the cutting tool has an RUL of 35 min according to the prediction. The RUL indicated approximately 25% extra tool usage. To increase competitiveness in many industries, PHM technology offers a path toward smart manufacturing and upgrading to industry 4.0.

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2019 IEEE International Conference on Prognostics and Health Management (ICPHM)

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