Robotic Method and Instrument to Efficiently Synthesize Faulty Conditions and Mass-Produce Faulty-Conditioned Data for Rotary Machines-Reference-Cited by-同舟云学术

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Robotic Method and Instrument to Efficiently Synthesize Faulty Conditions and Mass-Produce Faulty-Conditioned Data for Rotary Machines

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Yeung Yip Fun¹,Xia Fangzhou¹,Covarrubias Juliana¹,Furokawa Mikio²,Hirano Takayuki²,Youcef-Toumi Kamal¹

Affiliation:

1. Massachusetts Institute of Technology,Department of Mechanical Engineering,Cambridge,MA,USA,02139

2. The Japan Steel Works, LTD.,Hiroshima Plant,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161055.pdf?arnumber=10161055

Reference36 articles.

1. Convolutional Neural Network Based Fault Detection for Rotating Machinery

2. Bandwidth Based Repetitive Controller Design for a Modular Multi-actuated AFM Scanner

3. Intelligent Particle Filter and Its Application on Fault Detection of Nonlinear System

4. The macro/micro manipulator: An improved architecture for robot control

5. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How Does Perception Affect Safety: New Metrics and Strategy;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. A Doppler Radar With a Sweeping Lock-in Demodulator for Machine Vibration Sensing;IEEE Sensors Journal;2023-12-01

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