Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing-Reference-Cited by-同舟云学术

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Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing

Published:2023-12 Issue: Volume:234 Page:121136
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Xiaoqiao,Liu Mingzhou,Liu Conghu,Ling Lin,Zhang Xi

Funder

Chinese National Funding of Social Sciences

National Office for Philosophy and Social Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

1. Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots;Aivaliotis;Robotics and Computer-Integrated Manufacturing,2021

2. A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks;Amelio;Cognitive Computation,2023

3. Fault data screening and failure rate prediction framework-based bathtub curve on industrial robots;Bai;Ind. Robot,2020

4. A machine learning based sentient multimedia framework to increase safety at work;Bonifazi;Multimedia Tools and Applications,2022

5. Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review;Buchgeher;IEEE Access,2021

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