摘要
Maintaining tool availability is the key to ensure machining quality. To evaluate tool availability so as to improve its utilization, the tool diagnosis models for tool-remaining-useful-life (RUL) estimation and tool-state classification are required. These models need sufficient samples to cover all the variations of tool coating and chip friction. However, in general, it is not easy to collect enough samples in the early stage. This issue will delay the readiness of the tool diagnosis models. The purpose of this letter is to propose a gradual refreshing scheme for modeling, running, and refreshing tool diagnosis models. In addition, a sample extension method is presented for reducing modeling time and enhancing accuracy of tool-state classification. The examples of engine-case machining are adopted in this letter to illustrate how the system works for estimating tool-RUL, classifying tool-states, and further, improving tool utilization.
| 原文 | English |
|---|---|
| 文章編號 | 8605344 |
| 頁（從 - 到） | 515-522 |
| 頁數 | 8 |
| 期刊 | IEEE Robotics and Automation Letters |
| 卷 | 4 |
| 發行號 | 2 |
| DOIs | |
| 出版狀態 | Published - 2019 四月 |
指紋
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Biomedical Engineering
- Human-Computer Interaction
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Computer Science Applications
- Control and Optimization
- Artificial Intelligence
引用此文
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A Gradual Refreshing Scheme for Improving Tool Utilization. / Yang, Haw Ching; Tsai, Tsung Han; Tieng, Hao; Cheng, Fan Tien.
於: IEEE Robotics and Automation Letters, 卷 4, 編號 2, 8605344, 04.2019, p. 515-522.研究成果: Article
TY - JOUR
T1 - A Gradual Refreshing Scheme for Improving Tool Utilization
AU - Yang, Haw Ching
AU - Tsai, Tsung Han
AU - Tieng, Hao
AU - Cheng, Fan Tien
PY - 2019/4
Y1 - 2019/4
N2 - Maintaining tool availability is the key to ensure machining quality. To evaluate tool availability so as to improve its utilization, the tool diagnosis models for tool-remaining-useful-life (RUL) estimation and tool-state classification are required. These models need sufficient samples to cover all the variations of tool coating and chip friction. However, in general, it is not easy to collect enough samples in the early stage. This issue will delay the readiness of the tool diagnosis models. The purpose of this letter is to propose a gradual refreshing scheme for modeling, running, and refreshing tool diagnosis models. In addition, a sample extension method is presented for reducing modeling time and enhancing accuracy of tool-state classification. The examples of engine-case machining are adopted in this letter to illustrate how the system works for estimating tool-RUL, classifying tool-states, and further, improving tool utilization.
AB - Maintaining tool availability is the key to ensure machining quality. To evaluate tool availability so as to improve its utilization, the tool diagnosis models for tool-remaining-useful-life (RUL) estimation and tool-state classification are required. These models need sufficient samples to cover all the variations of tool coating and chip friction. However, in general, it is not easy to collect enough samples in the early stage. This issue will delay the readiness of the tool diagnosis models. The purpose of this letter is to propose a gradual refreshing scheme for modeling, running, and refreshing tool diagnosis models. In addition, a sample extension method is presented for reducing modeling time and enhancing accuracy of tool-state classification. The examples of engine-case machining are adopted in this letter to illustrate how the system works for estimating tool-RUL, classifying tool-states, and further, improving tool utilization.
UR - http://www.scopus.com/inward/record.url?scp=85063311233&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063311233&partnerID=8YFLogxK
U2 - 10.1109/LRA.2019.2891500
DO - 10.1109/LRA.2019.2891500
M3 - Article
AN - SCOPUS:85063311233
VL - 4
SP - 515
EP - 522
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
SN - 2377-3766
IS - 2
M1 - 8605344
ER -