Robot Manipulator Disturbance Observation and Servo-Fault Diagnosis without Speed Sensor-Reference-Cited by-同舟云学术

Robot Manipulator Disturbance Observation and Servo-Fault Diagnosis without Speed Sensor

Published:2022-12-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS)
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Author:

Liu Shaoxun¹,Xia Xue²,Zhou Shiyu¹,Niu Zhihua¹,Wang Rongrong¹

Affiliation:

1. School of Mechanical Engineering, Shanghai Jiao Tong University,Shanghai,China

2. School of Technology, Beijing Forestry University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9991245/9991269/09991376.pdf?arnumber=9991376

Reference24 articles.

1. Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multijoint industrial robots;long;Journal of Manufacturing Systems,2020

2. A New Load Torque Identification Sliding Mode Observer for Permanent Magnet Synchronous Machine Drive System

3. A deep transferable motion-adaptive fault detection method for industrial robots using a residual-convolutional neural network;oh;ISA Transactions,2021

4. Second-order sliding-mode observer for mechanical systems

5. Application of Generalized Frequency Response Functions and Improved Convolutional Neural Network to Fault Diagnosis of Heavy-duty Industrial Robot

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