A Gradual Refreshing Scheme for Improving Tool Utilization

Haw Ching Yang, Tsung Han Tsai, Hao Tieng, Fan-Tien Cheng

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Article number8605344
Pages (from-to)515-522
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume4
Issue number2
DOIs
Publication statusPublished - 2019 Apr 1

Fingerprint

Machining
Availability
Modeling
Model
Coating
Friction
Engine
Chip
Cover
Sufficient
Engines
Coatings
Evaluate
Life

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Biomedical Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Yang, Haw Ching ; Tsai, Tsung Han ; Tieng, Hao ; Cheng, Fan-Tien. / A Gradual Refreshing Scheme for Improving Tool Utilization. In: IEEE Robotics and Automation Letters. 2019 ; Vol. 4, No. 2. pp. 515-522.
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A Gradual Refreshing Scheme for Improving Tool Utilization. / Yang, Haw Ching; Tsai, Tsung Han; Tieng, Hao; Cheng, Fan-Tien.

In: IEEE Robotics and Automation Letters, Vol. 4, No. 2, 8605344, 01.04.2019, p. 515-522.

Research output: Contribution to journalArticle

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