Robotics & Machine Learning Daily News2024,Issue(Nov.20) :31-32.

Studies from Shandong University in the Area of Robotics Described (Fault Diagno sis of Mobile Robot Based On Dual-graph Convolutional Network With Prior Fault K nowledge)

山东大学在机器人领域的研究(基于先验故障知识的双图卷积网络的移动机器人故障诊断)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :31-32.

Studies from Shandong University in the Area of Robotics Described (Fault Diagno sis of Mobile Robot Based On Dual-graph Convolutional Network With Prior Fault K nowledge)

山东大学在机器人领域的研究(基于先验故障知识的双图卷积网络的移动机器人故障诊断)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于机器人的新报道。根据来自中国济南的新闻,由NewsRx记者报道,研究表明,“有效地整合了多传感器测量是移动机器人故障诊断的关键。然而,在多种意义或关系中现有的建模方法往往忽略了不同故障类型的影响,没有考虑故障类型之间的关系在数据样本中"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news originating from Jinan, People’s Republic of China, by NewsRx correspondents, research stated, “Effective integration ofmulti-sensor measurements is crucial for mobile robot fault diagnosis. However, in multi-sens or relationshipmodeling, existing methods often neglect the impact of different fault types and fail to consider the relationsamong data samples.”

Key words

Jinan/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Shandong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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