Sound-vibration spectrogram fusion method for diagnosis of RV reducers in industrial robots-Reference-Cited by-同舟云学术

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Sound-vibration spectrogram fusion method for diagnosis of RV reducers in industrial robots

Published:2024-05 Issue: Volume:214 Page:111411
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Qiao Yuting,Wang Hongbo^ORCID,Cao Junyi^ORCID,Lei Yaguo

Publisher

Elsevier BV

Reference23 articles.

1. Towards industrial robots as a service (iraas): Flexibility, usability, safety and business models;Buerkle;Rob. Comput. Integr. Manuf.,2023

2. Investigation of robotic milling chatter stability prediction under different cutter orientations by an updated full-discretization method;Ji;J. Sound Vib.,2022

3. Phase-based time domain averaging (ptda) for fault detection of a gearbox in an industrial robot using vibration signals;Kim;Mech. Syst. Sig. Process.,2020

4. Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots;Aivaliotis;Rob. Comput. Integr. Manuf.,2021

5. Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor;Yun;J. Intell. Manuf.,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the use of vibrations and temperatures for the monitoring of plastic chain conveyor systems;Mechanical Systems and Signal Processing;2025-01

2. A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME;Nonlinear Dynamics;2024-08-24

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