Research on Vibration Risk Predictive Control of Auxiliary Shaft Hoist based on MCGS
Yunkai Liu, Jie Li, Xiangzhong Meng, Tao Yin
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.164How to use a DOI?
- auxiliary shaft hoist; predictive control; vibration signal;MCGS
- For the existing problems of security risks when the amplitude of auxiliary shaft hoist vibration is too large, we use the vibration sensors to collect the vibration signals of auxiliary shaft hoist and display it in the monitoring software MCGS, then research on the vibration risk predictive control according to the analysis of the collecting signals integrated into signal processing, automatic control technology, and using PLC to control the converter so as to adjust the running state of the hoist., finally realizing the online monitoring of the hoist running status and vibration risk predictive control of auxiliary shaft hoist.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yunkai Liu AU - Jie Li AU - Xiangzhong Meng AU - Tao Yin PY - 2015/04 DA - 2015/04 TI - Research on Vibration Risk Predictive Control of Auxiliary Shaft Hoist based on MCGS BT - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation PB - Atlantis Press SP - 843 EP - 846 SN - 2352-538X UR - https://doi.org/10.2991/icmra-15.2015.164 DO - https://doi.org/10.2991/icmra-15.2015.164 ID - Liu2015/04 ER -