Tool health monitoring and prediction via attention-based encoder-decoder with a multi-step mechanism

Baosu Guo; Qin Zhang; Qinjing Peng; Jichao Zhuang; Fenghe Wu; Quan Zhang

doi:10.1007/s00170-022-09894-7

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Tool health monitoring and prediction via attention-based encoder-decoder with a multi-step mechanism

Baosu Guo Qin Zhang Qinjing Peng Jichao Zhuang Fenghe Wu Quan Zhang

Year: 2022 Journal: The International Journal of Advanced Manufacturing Technology Vol: 122 (2)Pages: 685-695 Publisher: Springer Science+Business Media

DOI: 10.1007/s00170-022-09894-7

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Keywords:

Tool wear Encoder Artificial neural network Mechanism (biology) Computer science Focus (optics) Moment (physics) Artificial intelligence Data mining Engineering Real-time computing Machining Mechanical engineering

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Topics

Advanced machining processes and optimization

Physical Sciences → Engineering → Mechanical Engineering

Advanced Machining and Optimization Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Tunneling and Rock Mechanics

Physical Sciences → Engineering → Civil and Structural Engineering

Tool health monitoring and prediction via attention-based encoder-decoder with a multi-step mechanism

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Citation History

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