Vibration Analysis Based Condition Monitoring for Industrial Robots

Huanqing Han, Yubin Lin, Lichang Gu, Yuandong Xu, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The position of an industrial robot in manufacturing has become more and more important. The monitoring of its condition is an urgent problem to be solved, because it is related to the safety and stability of production. Traditional monitoring methods mainly use external tools (such as acoustic emission sensor) or sensors (encoder, motor current sensor) inside industrial robot. In this paper, a condition monitoring method for industrial robots based on vibration analysis is proposed. Firstly, in the case of no fault, the three-axis acceleration data of the working point of the industrial robot is obtained by using a triaxial MEMS accelerometer. Based on experimental studies, it is shown that the vibration characteristics of each joint of the industrial robot have different characteristics, the differences being presented for different joints according to the characteristics of the frequency response. Then, different degrees of seal ring fault are simulated on the elbow of the robot. And the frequency and time domain responses are obtained based on different data. Through analysis, the fault location and degree of faults can be obtained according to vibration analysis. In addition, the accuracy of this conclusion is verified by calculating the RMS value of each axis. The results show that it is feasible to monitor the condition of industrial robots by vibration analysis.

Original languageEnglish
Title of host publicationProceedings of IncoME-V & CEPE Net-2020
Subtitle of host publicationCondition Monitoring, Plant Maintenance and Reliability
EditorsDong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages186-195
Number of pages10
Volume105
Edition1st
ISBN (Electronic)9783030757939
ISBN (Print)9783030757922
DOIs
Publication statusPublished - 16 May 2021
Event5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China
Duration: 23 Oct 202025 Oct 2020
Conference number: 5
https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

NameMechanisms and Machine Science
Volume105
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated titleIncoME-V and CEPE Net-2020
CountryChina
CityZhuhai
Period23/10/2025/10/20
Internet address

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