FCM-BRB Health State Prediction Model for Industrial Robot Systems-Reference-Cited by-同舟云学术

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FCM-BRB Health State Prediction Model for Industrial Robot Systems

Published:2023-11-10 Issue: Volume: Page:585-590
ISSN:
Container-title:2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
language:
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Author:

Yin Xiaojing¹,He Weidong¹,Wang Jidong¹,Zhang Bangcheng²,Peng Shouxing³,Yu Zhe¹

Affiliation:

1. Changchun University of Technology,The School of Mechanical and Electrical Engineering,Changchun,China

2. Changchun University of Technology, Changchun College of Engineering,The School of Mechanical and Electrical Engineering,Changchun,China

3. Guang'an Vocational and Technical College,Intelligent Manufacturing and Automotive Engineering,Guang’an,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528382/10528383/10528413.pdf?arnumber=10528413

Reference16 articles.

1. Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots

2. Fault prognosis of industrial robots in dynamic working regimes: Find degradation in variations

3. Health Assessment and Fault Detection System for an Industrial Robot Using the Rotary Encoder Signal

4. An improved bearing fault detection strategy based on artificial bee colony algorithm

5. Probabilistic time series forecasting with deep non‐linear state space models

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