[HTML][HTML] Optimization of energy consumption in industrial robots, a review
Optimization of energy consumption in industrial robots can reduce operating costs, improve
performance and increase the lifespan of the robot during part manufacturing. Choosing …
performance and increase the lifespan of the robot during part manufacturing. Choosing …
Compound fault diagnosis for industrial robots based on dual-transformer networks
The accurate diagnosis of the compound fault of industrial robots can be highly beneficial to
maintenance management. In the actual noisy working environment of industrial robots, the …
maintenance management. In the actual noisy working environment of industrial robots, the …
In-situ fault diagnosis for the harmonic reducer of industrial robots via multi-scale mixed convolutional neural networks
The faults of harmonic reducers result in excessive vibration affecting the joint stabilization of
industrial robots and manufacturing quality. In-situ fault diagnosis of harmonic reducers can …
industrial robots and manufacturing quality. In-situ fault diagnosis of harmonic reducers can …
基于数字孪生的工业机器人三维可视化监控
杜莹莹， 罗映， 彭义兵， 刘璇， 吴竟宁 - 计算机集成制造系统, 2023 - cims-journal.cn
为实现对工业机器人的透明, 实时可视化监控, 提出一种基于数字孪生的工业机器人三维实时
可视化监控系统. 该系统基于改进的数字孪生系统框架建立机器人数字孪生体 …
可视化监控系统. 该系统基于改进的数字孪生系统框架建立机器人数字孪生体 …
Multi-heterogeneous sensor data fusion method via convolutional neural network for fault diagnosis of wheeled mobile robot
Z Miao, F Zhou, X Yuan, Y Xia, K Chen - Applied Soft Computing, 2022 - Elsevier
Wheeled mobile robots usually operate in a variety of human–robot coexisting
environments. It is vital to improve their safety and reliability by investigating fault diagnosis …
environments. It is vital to improve their safety and reliability by investigating fault diagnosis …
Harmonic reducer in-situ fault diagnosis for industrial robots based on deep learning
The harmonic reducer is an essential kinetic transmission component in the industrial
robots. It is easy to be fatigued and resulted in physical malfunction after a long period of …
robots. It is easy to be fatigued and resulted in physical malfunction after a long period of …
[HTML][HTML] Machine Fault Diagnosis through Vibration Analysis: Continuous Wavelet Transform with Complex Morlet Wavelet and Time–Frequency RGB Image …
D Łuczak - Electronics, 2024 - mdpi.com
In pursuit of advancing fault diagnosis in electromechanical systems, this research focusses
on vibration analysis through innovative techniques. The study unfolds in a structured …
on vibration analysis through innovative techniques. The study unfolds in a structured …
[HTML][HTML] Sensor and actuator fault diagnosis for robot joint based on deep CNN
J Pan, L Qu, K Peng - Entropy, 2021 - mdpi.com
This paper proposes a data-driven method-based fault diagnosis method using the deep
convolutional neural network (DCNN). The DCNN is used to deal with sensor and actuator …
convolutional neural network (DCNN). The DCNN is used to deal with sensor and actuator …
[HTML][HTML] Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of …
The human-centric and resilient European industry called Industry 5.0 requires a long
lifetime of machines to reduce electronic waste. The appropriate way to handle this problem …
lifetime of machines to reduce electronic waste. The appropriate way to handle this problem …
Ecdp: Energy consumption disaggregation pipeline for energy optimization in lightweight robots
Limited resources and resulting energy crises occurring all over the world highlight the
importance of energy efficiency in technological developments such as robotic manipulators …
importance of energy efficiency in technological developments such as robotic manipulators …